Journal articles on the topic 'Process control Simulation methods'
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Pugh, G. Allen. "The evaluation of statistical process control methods by simulation." Computers & Industrial Engineering 15, no. 1-4 (January 1988): 360–63. http://dx.doi.org/10.1016/0360-8352(88)90112-x.
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Edgeman, Rick L., and David Drain. "Statistical Methods for Industrial Process Control." Technometrics 40, no. 2 (May 1998): 154. http://dx.doi.org/10.2307/1270649.
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Poteriailo, L. O., V. V. Protsjuk, and K. I. Kravtsiv. "KNOWLEDGE-ORIENTED DECISION-MAKING METHODS IN SIMULATIONS OF TECHNOLOGICAL PROCESS SIMULATION." METHODS AND DEVICES OF QUALITY CONTROL, no. 2(45) (December 28, 2020): 132–45. http://dx.doi.org/10.31471/1993-9981-2020-2(45)-132-145.
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The article presents the results of research in the field of simulation of drilling processes using modern computer modeling. The main parameters of the drilling process are determined as theoretical considerations aimed at introducing concepts related to simulation modeling and computer modeling in drilling. The analysis of the models used in the simulation of drilling processes is carried out. The basic characteristics of the simulator modeling are highlighted, which provides a holistic perception of technological processes, as well as any degree of their detailing. The main methods of modeling used in the development of automated control systems and simulators of industrial installations, ways of developing their software and some aspects of creating effective software and computer systems are presented. Further, a review of the essence of technological simulators is carried out, from a technical point of view, the current state of training systems for training operators of technological processes is highlighted. The differences between simulators and other teaching aids and the specifics of simulators for technical processes are presented. The characteristic features and prospects of simulator building in various industries are briefly described. The compulsory components of the simulators and the quality criteria of the simulators are determined. A study of the existing technical solutions for systems of the "Drilling simulators" class was carried out. Conclusions are made regarding the practical aspects of using modern engineering solutions for drilling simulators. The advantages are determined as a result of using simulators in various types of operational-tactical exercises, as the main form of improving the optimization of drilling control both for production tasks and training tasks. Particular emphasis is placed on the Drillsimm5000 simulator, which is used in the training of drilling specialists at the Ivano-Frankivsk Technical National University of Oil and Gas. From the standpoint of various services of the enterprise interested in purchasing simulators, the potential benefits of computer training and the tasks that need to be solved for the successful implementation of simulators are analyzed, problems associated with their implementation are presented.
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Zhang, Xiao Zhong, Fan Qin Meng, and Jie Hui Wang. "Optimizing Control Methods of Airport Pipeline Refueling Process." Applied Mechanics and Materials 738-739 (March 2015): 1007–11. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.1007.
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Due to the non-linearity and long delay of airport pipe line refueling system, it is difficult for classical control methods to ensure stable pumping pressure and refueling flow. To improve the stability of the refueling process, the paper introduces human-simulated intelligent control (HSIC) method to the recognization of refueling status, online self-adjusting and control of refueling parameters. Simulation shows that the stability and accuracy of HSIC control methods were better than that of classical PID and fuzzy PID control.
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Şipoș, Anca, and Mariana Liliana Păcală. "Teaching process control in food engineering: dynamic simulation of a fermentation control process." Balkan Region Conference on Engineering and Business Education 2, no. 1 (December 20, 2017): 313–19. http://dx.doi.org/10.1515/cplbu-2017-0041.
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Abstract Students usually have difficulties to understand abstract concepts of process control. Implementing in teaching process the inquiry-based learning helps students to follow methods and practices similar to those of professional scientists in order to construct knowledge. The paper describes the steps reached in simulation-based learning: from experimental data obtained by the students in their practical method (study and measurement of variables to some fermentation processes) to the simulated the behaviour of the process under a feedback control system. By providing opportunities for students to check their understanding and reflect on their learning process performance is enhanced over a traditional lecture course.
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Zhao, Wei, Yu Liang Chen, and Wen Juan Huang. "Research of Intelligent Control Methods for Hot Strip’s Coiling Temperature." Key Engineering Materials 439-440 (June 2010): 236–40. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.236.
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This paper briefly describes the importance of coiling temperature control in the strip production process, and analysis which shows that the current existence of coiling temperature control is difficult, for the laminar cooling process is one with a strong non-linear, distributed parameter, time-varying. Intelligent control method is presented and carried out with the Matlab simulation. The simulation result shows that this method will enable the ultimate precision of coiling temperature control within 5 °C.
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Feng, Shao Wei, Jing Zhang, and Shao Chun Ding. "Simulation Analysis of Production Control Methods in Manufacturing Systems." Advanced Materials Research 490-495 (March 2012): 1704–8. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.1704.
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It is very important to improve shop production performance in manufacturing process. The main manufacturing management methods include Kanban and Drum Buffer Rope (DBR) systems. In this paper computer simulation is used to evaluate the performance of these manufacturing systems. A simulation model was developed to collect and analyze some key performance indexes including total system output, flow time and average WIP invention. The optimal buffer size was found out by studying the two manufacturing systems at different capacities. The systems were also compared with and without machine breakdowns. The simulation model provided a significant insight into the two systems and the benefits of both the systems were realized
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Parulski, Paweł, Patryk Bartkowiak, and Dariusz Pazderski. "Evaluation of Linearization Methods for Control of the Pendubot." Applied Sciences 11, no. 16 (August 19, 2021): 7615. http://dx.doi.org/10.3390/app11167615.
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The aim of this paper is to test the usefulness of a new approach based on partial feedback linearization to control the Pendubot. The control problem stated in the article is to stabilize the Pendubot in the upright position. In particular, properties of the closed-loop system and the zero dynamics are investigated and illustrated by results of simulations. Next, the performance of a hybrid-like controller in the case of input saturation is evaluated by conduction extensive simulation trails. The experimental results suggest that the considered control methodology can be successfully applied for a real system.
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Zhao, Zhiqiang, and Feiyue Zhou. "Optimal Control Methods of Experiment Times in System-of-Systems Combat Computer Simulation." ITM Web of Conferences 26 (2019): 03004. http://dx.doi.org/10.1051/itmconf/20192603004.
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In the process of scheme optimization, in order to eliminate the influence of random factor, it needs to conduct computer simulation of Monte Carlo. Therefore, it is proposed to introduce confidence interval into systemof-systems combat simulation, and confirm whether the Monte Carlo simulation finishes according to data sample generated in simulation process. According to characteristic of data sample, extend correspondingly confidence interval method, and under the condition of obtaining the solution meeting accuracy requirements, reduce simulation experiment times as far as possible. The simulation experiment results show that confidence interval extension method is able to possess self-adaptation control to Monte Carlo simulation.
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Wang, Jie-sheng, Na-na Shen, and Shi-feng Sun. "Integrated Modeling and Intelligent Control Methods of Grinding Process." Mathematical Problems in Engineering 2013 (2013): 1–15. http://dx.doi.org/10.1155/2013/456873.
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The grinding process is a typical complex nonlinear multivariable process with strongly coupling and large time delays. Based on the data-driven modeling theory, the integrated modeling and intelligent control method of grinding process is carried out in the paper, which includes the soft-sensor model of economic and technique indexes, the optimized set-point model utilizing case-based reasoning, and the self-tuning PID decoupling controller. For forecasting the key technology indicators (grinding granularity and mill discharge rate of grinding process), an adaptive soft-sensor modeling method based on wavelet neural network optimized by the improved shuffled frog leaping algorithm (ISFLA) is proposed. Then, a set point optimization control strategy of grinding process based on case-based reasoning (CBR) method is adopted to obtain the optimized velocity set-point of ore feed and pump water feed in the grinding process controlled loops. Finally, a self-tuning PID decoupling controller optimized is used to control the grinding process. Simulation results and industrial application experiments clearly show the feasibility and effectiveness of control methods and satisfy the real-time control requirements of the grinding process.
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Qiao, Yin Hu, Chun Yan Zhang, and Jie Ping Chen. "Aluminum Car Wheel Molding Methods and Numerical Simulation of Forming Process." Applied Mechanics and Materials 44-47 (December 2010): 2484–88. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.2484.
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Weight reduction at wheels is important due to its unsprung mass and the associated reduction of fuel consumption and the better ride-and-handling comfort. Especially in the front of the car, a weight reduction is necessary to ease the critical mass distribution at the front axle and therefore increase driving safety. The casting defects that are caused by molten metal were cold shut formation, entrapment of air, gas, and inclusion. But the control of casting defects has been based on the experience of the foundry engineers. In this paper, computer simulations have been carried out to analyze the flow of molten metal. Using Anycasting software to numerical simulating the process of car wheel molding filling and solidification, materials selecting and casting process characteristics and defects of the parts are studied, the causes of casting defects are analyzed.
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Tan, Qun Yan, Xin Zhao, and Xue Bin Zhang. "Two Hourglass Control Methods for Dynamic Analysis in Cold Ring Rolling Process." Applied Mechanics and Materials 42 (November 2010): 326–30. http://dx.doi.org/10.4028/www.scientific.net/amm.42.326.
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The two methods of artificial damping and artificial stiffness are developed in dynamic explicit FEA code for ring rolling. Advantages and disadvantages of artificial damping method and artificial stiffness method are analyzed. A rectangular section cold ring rolling is simulated. The hourglass energy and the ratio of the hourglass energy to the internal energy are compared between the two hourglass control methods. The hourglass control coefficient criterion of the two methods in the cold ring rolling simulation is proposed.
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Giwa, Abdulwahab, Abel Adekanmi Adeyi, and Saidat Olanipekun Giwa. "Control of a Reactive Distillation Process Using Model Predictive Control Toolbox of MATLAB." International Journal of Engineering Research in Africa 30 (May 2017): 167–80. http://dx.doi.org/10.4028/www.scientific.net/jera.30.167.
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This research work has been carried out to investigate the application of the Model Predictive Control Toolbox contained in MATLAB in controlling a reactive distillation process used for the production of a biodiesel, the model of which was obtained from the work of Giwa et al.1. The optimum values of the model predictive control parameters were obtained by running the mfile program written for the implementation of the control simulation varying the model predictive control parameters (control horizon and prediction horizon) and recording the corresponding integral squared error (ISE). Thereafter, using the obtain optimum value of 5 and 15 for control horizon and prediction horizon respectively as well as a manipulated variable rate weight of 0.025 and an output variable rate weight of 1.10, various steps were applied to the setpoint of the controlled variable and the responses plotted. The results given by the simulations carried out by varying the model predictive control parameters (control horizon and prediction horizon) for the control of the system revealed that optimizing the control parameters is better than arbitrary choosing. Also, the simulation of the developed model predictive control system of the process showed that its performance was better than those used to control the same process using a proportional-integral-derivative (PID) controller tuned with Cohen-Coon and Ziegler-Nichols techniques. It has, thus, been discovered that the Model Predictive Control Toolbox of MATLAB can be applied successfully to control a reactive distillation process in order to obtain better performance than that obtained from a PID controller tuned with Cohen-Coon and Ziegler-Nichols methods.
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Averchenkov, Vladimir. "QUALITY CONTROL PROCESS SIMULATION OF PRODUCTS MANUFACTURED TAKING INTO ACCOUNT TECHNOLOGICAL INHERITANCE." Bulletin of Bryansk state technical university 2020, no. 3 (March 5, 2020): 47–56. http://dx.doi.org/10.30987/1999-8775-2020-3-47-56.
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There are considered scientific-methodical approaches to the formalization of methods for the formation and choice of efficient technologies ensuring a required quality of products, the decrease of labor intensity, power inputs, material capacity and cost price of their manufacturing for conditions of automated decision-making in integrated CADs. A possibility to form multivariate simulators of engineering processes and separate processing methods is shown for which there are described principles of their structural parametric optimization.
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Zhang, Qi, Xinyi Chen, Hetang Wang, and Chaohang Xu. "Exploration on molecular dynamics simulation methods of microscopic wetting process for coal dust." International Journal of Coal Science & Technology 8, no. 2 (March 11, 2021): 205–16. http://dx.doi.org/10.1007/s40789-021-00415-7.
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AbstractWet dust removal is one of the main technical measures in coal dust control, and coal dust wetting is the key factor to determine the effect of wet dust removal. In order to explore the micro-wetting process of coal dust, this paper uses molecular dynamics simulation to study the micro-wetting process of coal dust in different simulation conditions. The molecular dynamics simulation was carried out under different ensemble, thermodynamic states as well as relaxation pretreatment methods, then the H2O molecular layer and coal dust molecular layer in each simulation were quantitatively analyzed by relative concentration. The research results show that a method for establishing molecular model of lignite is proposed and the 2D periodic surface structure is more reasonable. The surface system of coal-H2O molecule is established by NVT aeration method, where the simulation result is close to the actual coal dust wetting process. The simulation effect of medium and large coal dust-H2O molecular system is better than that of small coal dust-H2O molecular system. This study provides a new solution for changing the empirical method of molecular dynamics simulation of coal system wetting and oversimplification of coal system.
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He, Li Li, and Xiao Chun Lou. "Study on the Formation Control Methods for Multi-Agent Based on Geometric Characteristics." Advanced Materials Research 765-767 (September 2013): 1928–31. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.1928.
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Multi-agent formation control is the process in which the teams formed by multiple agents move to specific target or specific direction. The formation method of the linear formation and circular formation are given in this paper, based on the geometric characteristics of the formation formed by multi-agent. The process in which 5 agents arrived at the designated target point and formed a linear formation is achieved through simulation; and 4 agents formed a circular formation and cooperated to carry heavy weights. The result of the three-dimensional simulation shows the feasibility of the method to form multi-agent formations in different environments and different tasks.
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Hardin, Mikhail, and Sergey Burtsev. "Residual Stresses Control for Large Scale Open Die Forged Parts." Key Engineering Materials 684 (February 2016): 120–26. http://dx.doi.org/10.4028/www.scientific.net/kem.684.120.
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This paper gives an overview of residual stresses problem after heat treatment of large scale forged parts as well as numerical study and simulations of different methods to reduce stresses. DEFORM software was used for Finite Element Method (FEM) simulations as one of the most capable simulation tools combining both forging and heat treatment processes analysis. The study is performed on the sample of large scale airspace part of aluminum AK6 (AlMgSiCu) alloy. The comparison of different quenching media is presented. Practical conclusions and recommendations are made to optimize the process and reduce residual stresses after the heat treatment. This paper provides numerical simulation and theoretical conclusions and needs to be amended by experimental measurement of residual stresses by one of available methods as part of the future work.
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Wu, Feng Jie, Zhong Hua Guo, and Wen Kai Huang. "Proteus for the Design of the Heat Treatment Process Parameters Control System." Advanced Materials Research 718-720 (July 2013): 1274–78. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.1274.
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The paper introduces Proteus virtual development techniques into the design of the heat treatment process parameter control system, and takes each heat treatment furnace controller unit for example to explain Proteus simulation circuit of hardware and software design methods. And finally, we achieve the soft parallel hardware co-development of the microcontroller system, which can effectively save hardware resources and improve the development efficiency. Simulation results and theoretical analysis prove the correctness and the accuracy of Proteus virtual simulation, having very important significance in the microcontroller virtual development.
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Domański, Paweł D. "Multifractal Properties of Process Control Variables." International Journal of Bifurcation and Chaos 27, no. 06 (June 15, 2017): 1750094. http://dx.doi.org/10.1142/s0218127417500948.
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Control system is an inevitable element of any industrial installation. Its quality affects overall process performance significantly. The assessment, whether control system needs any improvement or not, requires relevant and constructive measures. There are various methods, like time domain based, Minimum Variance, Gaussian and non-Gaussian statistical factors, fractal and entropy indexes. Majority of approaches use time series of control variables. They are able to cover many phenomena. But process complexities and human interventions cause effects that are hardly visible for standard measures. It is shown that the signals originating from industrial installations have multifractal properties and such an analysis may extend standard approach to further observations. The work is based on industrial and simulation data. The analysis delivers additional insight into the properties of control system and the process. It helps to discover internal dependencies and human factors, which are hardly detectable.
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Shi, Peng, Fei Liu, and Ming Yang. "A Modified Statistical Process Control Approach for Warm-up Selection in Discrete-Event Simulation." Advanced Materials Research 187 (February 2011): 428–33. http://dx.doi.org/10.4028/www.scientific.net/amr.187.428.
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HLA-based simulation systems are multivariate discrete-event simulation systems, and sometimes with small samples in essential, for which exists initial transient issue. Simulation models begin in fixed initial values, which are always different from the steady state values. A variety of selection methods have been developed these years, but no one method could be recommended above others. Among these methods, the familiar statistical process control method is a popular way to deal with the warm-up selection, with the deficiency for multivariate and small samples. Based on SPC, individuals and moving range, multivariate exponentially weighted moving average chart for Individuals and Hotelling T2 method, a modified SPC method is proposed. The case of military domain simulation scenario and some empirical experiments, illustrate the validity of the modified SPC method.
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Deranek, Kimberly, Steven Kramer, and Sharon Siegel. "Technology-dependent pedagogical process redesign: leveraging lean methods." International Journal of Quality & Reliability Management 38, no. 8 (January 29, 2021): 1816–32. http://dx.doi.org/10.1108/ijqrm-04-2020-0107.
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PurposeThis research compared the efficacy of process outcomes leveraging lean methods versus traditional pedagogy applied to dental education dependent on emerging technology. The pedagogical objective was to improve system efficiency without compromising traditional outcomes of effectiveness (quality).Design/methodology/approachThe research team tested the efficacy of a lean A3 framework to identify, remove waste and redesign a technology-dependent simulation laboratory course (CAD/CAM/IR Restorative Dentistry). Students were also sensitized to time-in-chair to introduce a stronger patient focus. Baseline data collected from a control group were statistically compared to the research group's data after the course redesign. In addition, course time allocations were measured and then compared.FindingsThe results showed the interventions significantly reduced procedure cycle times without compromising quality. Additionally, the course was more efficiently conducted as measured by course time allocations.Practical implicationsThis research demonstrated that the use of the A3 framework enhanced learning through process documentation, reengineering and systems optimization resolving issues of inefficiency associated with the CAD/CAM/IR pedagogy. This work is significant because it demonstrates the practice of using lean interventions to redesign and improve a technology-based healthcare course to maximize benefits.Originality/valueThis research is the first to examine how to leverage lean methods in a healthcare simulation laboratory, dependent on innovative technology, to educate and train future practitioners. This research applied statistical rigor in a controlled experiment to maximize its applicability and generalizability.
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Yu, Cheng Hsien, and Jinn Jong Sheu. "Cold Forging Die Design and Process Simulation of a Disk with Inner Ring Gear." Key Engineering Materials 626 (August 2014): 211–16. http://dx.doi.org/10.4028/www.scientific.net/kem.626.211.
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Cold forging die design and process simulation were studied in this paper for a disk with center boss and outer ring gear. The complexity of part geometry results in defects of under-filling and folding. The material flow interference in the radial and the axial directions at the corner areas is the main reason of the occurrence of defects. A multi-stage cold forging process was proposed to control the material flow and volume distribution simultaneously. FEM simulations were carried out to evaluate the designs of process and die. The proposed preform and web geometry designs were able to decrease the forging load and control the material flow. The simulation results showed the proposed methods were able to make this forged part without defects.
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Zhang, Xiang. "Application of Backstepping Stability Control in the Diffusion Process." Advanced Materials Research 791-793 (September 2013): 704–9. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.704.
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In this paper, 1-D mathematical model of the coagulation process of the polyacrylonitrile (PAN) carbon fiber is established using Fick diffusion law. Boundary stabilization for a linear parabolic diffusion-reaction partial differential equation (PDE) is considered. We use the method of backstepping to implement the boundary control of the concentration diffusion in the forming process of carbon fiber. By using the coordinate transformation, we transform the original system to a standard static system. The transformation depends on a so called gain kernel function, and we can design the boundary feedback controller using the kernel function. For the model in this paper, the kernel function itself is a hyperbolic PDE, and there is no explicit formation. Therefore, we use numerical methods to obtain the kernel function, and give the simulation results for the closed-loop control response. The simulation results show that the open-loop unstable system is stabilized by a boundary feedback.
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Yaroshchuk, Liudmyla, and Yevheniia Tiurina. "Simulation of the Industrial Oil Adsorption Purification Process for Automation Tasks." Modelling and Simulation in Engineering 2022 (October 14, 2022): 1–13. http://dx.doi.org/10.1155/2022/2738654.
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Objective reasons associated with an increase of transport quantity and the volume of industrial goods and energy service production lead to the accumulation of used oils and greases. These substances can be reused in the case of their purification. Such resource saving is facilitated by the development of technologies, in particular, adsorption purification and efficient systems for their automation. The article carried out a detailed analysis of the continuous adsorption purification technological system and indicated its significant differences from the point of view of control systems with special preparation of raw materials. The conclusion about the presence of nonstationarity and stochasticity sources of continuous adsorption as a control object is substantiated, which made it possible to impose requirements on the properties of the control model. The existing methods of adsorption mathematical description are analyzed within their use for continuous control. Structures of dynamic models based on a combination of analytical and experimental methods are proposed. Analytical models are based on mass balances of substances, known forms of approximations for describing equilibrium conditions and adsorption kinetics are studied, and experimental and statistical modeling is carried out to determine possible structures of the connection between technological variables during control. A structural-parametric scheme of the model and a scheme for its adaptation in control systems have been formed. An example of an adsorption simulation model formation using MATLAB+Simulink is shown. The results can be used to develop software for control systems of continuous adsorption and to test control algorithms.
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He, Mingfang. "Data-Driven Approximated Optimal Control of Sulfur Flotation Process." Complexity 2019 (July 16, 2019): 1–16. http://dx.doi.org/10.1155/2019/4754508.
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Sulfur flotation process is a typical industry process with complex dynamics. For a sulfur flotation cell, the structure of the system model could be derived using first-principles and reaction kinetics. However, the model parameters cannot be obtained under certain working conditions. In this paper, by using adaptive dynamic programming (ADP), we establish a data-driven optimal control approach for the operation of a sulfur flotation cell without knowing the model parameters. By learning from the online production data, an initial admissible control policy iteratively converges to an approximated optimal control law, and the dependence of optimal control design on the full model knowledge is eliminated. A simulation environment of sulfur flotation process is constructed based on phenomenological model and industrial data. Some practical problems in the implementation of ADP, i.e., selection of basis functions, how to use the model structural information in the ADP-based control design, are investigated. The feasibility and performance of the proposed data-driven optimal control are tested in the simulation environment. The results indicate the potential of applying bioinspired control methods in flotation process.
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Pang, Hong Chen, Yu Xing Wang, Yan Qin Tang, and Han Dong Huang. "Soil Variable Analysis of Spiral Pile-Driven Process Simulation." Applied Mechanics and Materials 256-259 (December 2012): 377–82. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.377.
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Pile driven-operations is an important means to control floods, anti-flood spiral pile is a kind of flood control equipment which is lightweight, high work efficiency and low labor intensity. It is important to research the soil variables to further clarify the mechanism of pile-soil interaction in driven process. Soil constitutive model was built as the SPH particles; pile-driven process was simulated by dynamics software. By tracing the SPH (Smoothed Particle Hydrodynamics) particles, contrasting and analyzing the movement of soil particles at different times and depths because of friction, extrusion, and shear effect of pile were achieved. The mechanism of pile - soil interaction in the driven process was clarified by analyzing and comparing the simulation results, which make up the lack of theoretical analysis and experimental methods. It will provide useful suggestions on the design of spiral pile and reducing the secondary damage to dam.
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Zeng, Kui. "Research on the Cutting Process Simulation Based on Finite Element Analysis." Applied Mechanics and Materials 427-429 (September 2013): 425–28. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.425.
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The blade is a complex mechanical structure model which has two processing methods. One is making mold blade using the electrochemical methods and forming the blade molding using precision casting methods. But the cycle of this processing method is long and the process is complex and difficult to control. The second method is cutting the blade directly. The cutting force and the friction between tools and blanks can affect the machining accuracy of the machining. We should timely adjust the cutting parameters and cooling model to improve processing accuracy.
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Ivannikov, A. D., and A. L. Stempkovskiy. "Iterative Methods for Solving Systems of Multi-Valued Logical Equations in the Simulation of Object Control Digital Systems." Mekhatronika, Avtomatizatsiya, Upravlenie 21, no. 9 (September 7, 2020): 511–20. http://dx.doi.org/10.17587/mau.21.511-520.
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The article is devoted to the analysis of methods for solving systems of multivalued logical equations by iteration methods. Iterative methods for solving such systems of equations are a mathematical description of the main process of functional-logical simulation, which is used at the stage of designing digital systems for objects control to verify the correctness of the design. Consideration of multi-valued values of logical signals at the outputs of blocks and elements of digital systems is explained by the fact that in some cases, to analyze the correctness of time relationships when simulating the hardware of digital systems, a several valued representation of logical signals is used, as well as that recently, logical elements are being developed that implement four or more valued logic. Based on the analysis of the structure of the system of logical equations used in digital hardware simulation, using graph and logical models, an analysis is made of the existence of solutions and their number. Iterative methods of a simple and generalized iteration are analyzed, a relationship is shown between the number of solutions of the system of equations and its graph representation, which reflects a given circuit of connecting elements of the hardware of a digital control system. For the generalized iteration method, options with a different structure of the iteration trace are considered, in particular, it is shown that, with a certain structure of the iteration trace, the generalized iteration turns into a simple iteration or Seidel iteration. It is shown that the generalized iteration most adequately describes the process of simulating the switching of logical signals in a simulated circuit of digital control systems hardware. The correspondence between various options of functional-logical simulation of digital systems and the used methods of iterative solution of systems of logical equations is shown.
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Franc, Jeffrey Michael, Pier Luigi Ingrassia, Manuela Verde, Davide Colombo, and Francesco Della Corte. "A Simple Graphical Method for Quantification of Disaster Management Surge Capacity Using Computer Simulation and Process-control Tools." Prehospital and Disaster Medicine 30, no. 1 (November 19, 2014): 9–15. http://dx.doi.org/10.1017/s1049023x1400123x.
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AbstractIntroductionSurge capacity, or the ability to manage an extraordinary volume of patients, is fundamental for hospital management of mass-casualty incidents. However, quantification of surge capacity is difficult and no universal standard for its measurement has emerged, nor has a standardized statistical method been advocated. As mass-casualty incidents are rare, simulation may represent a viable alternative to measure surge capacity.Hypothesis/ProblemThe objective of the current study was to develop a statistical method for the quantification of surge capacity using a combination of computer simulation and simple process-control statistical tools. Length-of-stay (LOS) and patient volume (PV) were used as metrics. The use of this method was then demonstrated on a subsequent computer simulation of an emergency department (ED) response to a mass-casualty incident.MethodsIn the derivation phase, 357 participants in five countries performed 62 computer simulations of an ED response to a mass-casualty incident. Benchmarks for ED response were derived from these simulations, including LOS and PV metrics for triage, bed assignment, physician assessment, and disposition. In the application phase, 13 students of the European Master in Disaster Medicine (EMDM) program completed the same simulation scenario, and the results were compared to the standards obtained in the derivation phase.ResultsPatient-volume metrics included number of patients to be triaged, assigned to rooms, assessed by a physician, and disposed. Length-of-stay metrics included median time to triage, room assignment, physician assessment, and disposition. Simple graphical methods were used to compare the application phase group to the derived benchmarks using process-control statistical tools. The group in the application phase failed to meet the indicated standard for LOS from admission to disposition decision.ConclusionsThis study demonstrates how simulation software can be used to derive values for objective benchmarks of ED surge capacity using PV and LOS metrics. These objective metrics can then be applied to other simulation groups using simple graphical process-control tools to provide a numeric measure of surge capacity. Repeated use in simulations of actual EDs may represent a potential means of objectively quantifying disaster management surge capacity. It is hoped that the described statistical method, which is simple and reusable, will be useful for investigators in this field to apply to their own research.FrancJM, IngrassiaPL, VerdeM, ColomboD, Della CorteF. A simple graphical method for quantification of disaster management surge capacity using computer simulation and process-control tools. Prehosp Disaster Med. 2015;30(1):1-7.
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Palamar, A. "Methods and means of increasing the reliability of computerized modular uninterruptible power supply system." Scientific journal of the Ternopil national technical university 99, no. 3 (2020): 133–41. http://dx.doi.org/10.33108/visnyk_tntu2020.03.133.
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The problem of development and implementation of a simple and effective method of the rectifiers operation control for the modular uninterruptible DC power supply unit in order to increase its reliability is considered in this paper. The main idea of the method is to control the process of cyclic shifting of the switched-on power modules of the uninterruptible power supply by series switching into operation of each subsequent module from their unloaded reserve and switching out the previous one. The paper presents the control system structure where in addition to the central control module, it is proposed to add the control unit for power modules, which is responsible for implementing the process of their switching on and monitors their condition. In order to investigate the effectiveness of the proposed method, computer simulation model describing the power modules control logic is developed. The Simulink visual modeling environment and the mathematical tools of the Stateflow library component using state and transition diagrams are used in order to develop the simulation model. The developed simulation model is tested and the simulation results are given in the form of time diagrams of state change. The іmplementation of the developed method, due to the uniform reduction of the period during which the power modules of the uninterruptible power supply are on the switched-on loaded state, makes it possible to increase their operating time to failure, which in turn increases its reliability without deteriorating energy efficiency. The simulation results demonstrate the efficiency of the developed algorithm in various system operation modes. Based on the proposed method, hardware and software which is implemented as a part of intelligent computerized control system for uninterruptible DC power supply is created.
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Li, Jie Jia, Guang Qi Chen, Hao Wu, and Ying Li. "Research on Aluminum Electrolysis Equipment Control Strategy." Advanced Materials Research 499 (April 2012): 474–77. http://dx.doi.org/10.4028/www.scientific.net/amr.499.474.
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Aluminum electrolytic process is a complex nonlinear, time-varying delay and large industrial process system which conventional control methods are hardly can achieve good results. Because of that, a control method that combines fuzzy and neural network is put forward in the paper. This method has not only the robust fuzzy control and overshoot, but also self-learning ability of neural network. And conduct a system simulation, simulation results show that compared with the previous control method this method has good speed and stability, to achieve the purpose of energy saving for the control of alumina concentration.
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Wagner, Henry, Maria Singer, Jamie Knipple, Amy Aurand, Paulette Repella, and Michele Ferenci. "Evaluation of process control in radiation oncology treatment planning." Journal of Clinical Oncology 30, no. 34_suppl (December 1, 2012): 186. http://dx.doi.org/10.1200/jco.2012.30.34_suppl.186.
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186 Background: ROTP extends from simulation (SIM) through the start of treatment and constitutes a sequence of processes. Accurate implementation of each of these is essential for proper treatment. Prior guidelines had been proposed in our department for conformal treatment and intensity modulated radiation therapy (IMRT) or Volumetric Modulated Arc Therapy (VMAT); these were often not met leading to dissatisfaction by staff and patients. To improve this we evaluated the current steps in ROTP in an effort to improve our process. Methods: We analyzed the records of 157 eligible patients who underwent CT simulation from 1/1/12 through 3/30/12, excluding patients treated for benign disease, brachytherapy, or patients who never started treatment. The departmental standard was for urgent cases to start within 4 days (d), non-IMRT cases to start in 5d and IMRT/VMAT/SBRT cases to start in 10d. We defined three intervals, from SIM to start of treatment, SIM to approval of the plan by the physician, and approval to treatment start. Results: The median interval between planning landmarks in work-days and the % exceeding planning standards plus 2 days are shown below. Almost half of cases exceeded departmental standards for timeliness of ROTP. Much of the variability occurred after the physician had approved the plan. Conclusions: To improve timeliness of ROTP we have introduced changes in our planning process: 1. Strict definition of urgent cases. 2. Assigning a start date at the time of simulation. 3. Case planning review by the Radiation Oncologist, dosimetrist (+/- Physicist) at SIM. 4. Daily review of task list by Chief of Physics and Department Chair. These changes have been implemented in our department and results of the first two months of their use will be presented. [Table: see text]
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Condrachi, Larisa, Ramón Vilanova, Montse Meneses, and Marian Barbu. "Anaerobic Digestion Process Control Using a Data-Driven Internal Model Control Method." Energies 14, no. 20 (October 16, 2021): 6746. http://dx.doi.org/10.3390/en14206746.
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Anaerobic digestion processes offer the possibility for wastewater treatment while obtaining a benefit through the obtained biogas. This paper aims to continue the effort to adopt data-driven control methods in the case of anaerobic digestion processes. The paper proposes a data-based Internal Model Control approach applied to an anaerobic digestion process. The paper deals extensively with the issue of choosing the reference model and proposing an engineering approach to this issue. The paper also addresses the issue of verifying robust stability, a very important aspect considering the uncertainties that characterize bioprocesses in general. The approach proposed in the paper is validated through a numerical simulation using the Anaerobic Digestion Model No. 1. During the validation of the proposed control solution, the main operating conditions were analyzed, such as the setpoint tracking performance, the rejection of disturbance generated by variations in the influent concentration, and the effect of the measurement noise on the controlled variable.
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Ukai, Makiko, and Masaya Okumiya. "Comparison of Performance of Desiccant Air Handling Unit with Solar Thermal System under Various Control Methods." E3S Web of Conferences 111 (2019): 01077. http://dx.doi.org/10.1051/e3sconf/201911101077.
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In hot and humid summer as in Japan, dehumidification is important process for air conditioning. Desiccant air handling unit is one of the major system for dehumidification in which absorbent or sorbent absorbs moisture in the air and hot heat source is required in order to regenerate them. In order to use solar thermal energy efficiently, flexible control, which controls the distribution of the dehumidification at precooling coil and dehumidification wheel, is proposed and analysed its performance through simulation. Simulation results show that supply absolute humidity fulfils the set point even when solar thermal energy is not supplied to regenerating coil under flexible control. On the other hand, system with conventional fixed control can not fulfil the set absolute humidity when solar thermal energy is not supplied. The unprocessed latent heat load is around 49kW, which results in higher relative humidity around 56.5%. Solar thermal energy supplied to regenerating coil under flexible control is larger than fixed control.
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Li, Jie-jia, Xiao-yan Han, Peng Zhou, Xiao-yu Sun, and Na Chang. "Comprehensive Analysis of Fault Diagnosis Methods for Aluminum Electrolytic Control System." Advances in Materials Science and Engineering 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/975317.
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This paper established the fault diagnosis system of aluminum electrolysis, according to the characteristics of the faults in aluminum electrolysis. This system includes two subsystems; one is process fault subsystem and the other is fault subsystem. Process fault subsystem includes the subneural network layer and decision fusion layer. Decision fusion neural network verifies the diagnosis result of the subneural network by the information transferring over the network and gives the decision of fault synthetically. EMD algorithm is used for data preprocessing of current signal in stator of the fault subsystem. Wavelet decomposition is used to extract feature on current signal in the stator; then, the system inputs the feature to the rough neural network for fault diagnosis and fault classification. The rough neural network gives the results of fault diagnosis. The simulation results verify the feasibility of the method.
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Matusova, Miriam, and Martina Kusa. "Methods of Storage Management in the System iCIM 3000." Applied Mechanics and Materials 693 (December 2014): 38–43. http://dx.doi.org/10.4028/www.scientific.net/amm.693.38.
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Storage is one of the most important parts of logistics, which ensures storage of the products at the place and between the place of production and place of usage. Basic role of storage is equilibration and harmonization of differences among differently designed material flows. Selection of a suitable method, which monitors the storage control, is a main decision of the plant representatives. Each method is suitable for a particular materials and different types of production process. Presently, accent is placed at the modeling and simulation of monitored processes in production system. Main reason for simulation is early identification of problems and deficiencies, which could cause significant problems in a real production process.
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Chen, Limin. "Research on Control Theory of Belt Conveyor." Applied Mechanics and Materials 63-64 (June 2011): 209–13. http://dx.doi.org/10.4028/www.scientific.net/amm.63-64.209.
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Dynamic performance of belt conveyor has become increasingly prominent, so accurate design techniques should be adopted, thus the dynamic simulation methods are required to research precisely the starting performances of. This paper selects the viscoelasticity model suiting to the belt by comparing dynamic performance of some kinds of models, and develops simulation model of driving device with closed-loop controlling. The simulation model with simple structure, the high stability, the reliable working and the convenient adjustment indicates that rotation speed and output moment of motor change with load and working time, therefore really reflectes dynamic work process of the driving device. Simulation results are more close to practice.
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Chen, Lei, Ying Bai, Zhengyi Jiang, Huiqin Chen, Can Wu, and Qiaoyi Wang. "Numerical and experimental studies on wrinkling control methods of sheet metal part with high curvature and large flange in rubber forming." Advances in Mechanical Engineering 11, no. 10 (October 2019): 168781401988378. http://dx.doi.org/10.1177/1687814019883787.
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Wrinkling is one of the main failure modes in sheet metal forming process and may lead to assembly problems of the parts. Control of wrinkling is difficult due to the complex deformation behavior of the sheet metal. A finite element model for side blankholder method to control wrinkling was established and used for the simulation. Trials and simulations were conducted to analyze the parameters of wrinkling characteristics. Results show that with the increase in the angle of the side blankholder, the resistance force of the side blankholder decreases. The blank length on the side blankholder should be small enough. The fillet radius of the side blankholder should be large enough to reduce the deformation. The bottom gap between the die and the side blankholder cannot be too large because the support of the blank will decrease in the forming process. In order to verify the simulation results, three blank lengths (20, 15, and 5 mm) over the side blankholder were used in the experiment. The results of the comparison tests testify the reliability of the simulation. The optimal parameter of the blank length is 5 mm. A new clamp method was designed for wrinkling control to overcome the shortcomings of the side blankholder method. The precision of the part met the requirement using soft rubber and two layers of rubber plates.
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An, Jianqi, Fayang You, Min Wu, and Jinhua She. "Iterative Learning Control for Nonlinear Weighing and Feeding Process." Mathematical Problems in Engineering 2018 (December 20, 2018): 1–9. http://dx.doi.org/10.1155/2018/9425902.
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Due to the nonlinear dynamics in weighing and feeding process, it is difficult to achieve high accuracy with conventional control methods. This paper uses a piecewise linearization method for the nonlinear problem and discusses the application of iterative learning control in weighing and feeding process. First, the nonlinear problem and the repeatability are discussed based on dynamic analysis of weighing and feeding process. Next, a linear state space model is established with a piecewise linearization method. Then, an iterative learning controller is presented by utilizing repetitive characteristics, and the controller parameters are obtained by using a multi-objective optimization method. Finally, simulation results show that the presented control method improves the control performances and the accuracy of feeding.
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Shakeel, Tanzeela, Jehangir Arshad, Mujtaba Hussain Jaffery, Ateeq Ur Rehman, Elsayed Tag Eldin, Nivin A. Ghamry, and Muhammad Shafiq. "A Comparative Study of Control Methods for X3D Quadrotor Feedback Trajectory Control." Applied Sciences 12, no. 18 (September 15, 2022): 9254. http://dx.doi.org/10.3390/app12189254.
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Unmanned aerial vehicles (UAVs), particularly quadrotor, have seen steady growth in use over the last several decades. The quadrotor is an under-actuated nonlinear system with few actuators in comparison to the degree of freedom (DOF); hence, stabilizing its attitude and positions is a significant challenge. Furthermore, the inclusion of nonlinear dynamic factors and uncertainties makes controlling its maneuverability more challenging. The purpose of this research is to design, implement, and evaluate the effectiveness of linear and nonlinear control methods for controlling an X3D quadrotor’s intended translation position and rotation angles while hovering. The dynamics of the X3D quadrotor model were implemented in Simulink. Two linear controllers, linear quadratic regulator (LQR) and proportional integral derivate (PID), and two nonlinear controllers, fuzzy controller (FC) and model reference adaptive PID Controller (MRAPC) employing the MIT rule, were devised and implemented for the response analysis. In the MATLAB Simulink Environment, the transient performance of nonlinear and linear controllers for an X3D quadrotor is examined in terms of settling time, rising time, peak time, delay time, and overshoot. Simulation results suggest that the LQR control approach is better because of its robustness and comparatively superior performance characteristics to other controllers, particularly nonlinear controllers, listed at the same operating point, as overshoot is 0.0% and other factors are minimal for the x3D quadrotor. In addition, the LQR controller is intuitive and simple to implement. In this research, all control approaches were verified to provide adequate feedback for quadrotor stability.
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Mei, Youping, and Kim A. Stelson. "Lapping Control of Hard Disk Drive Heads." Journal of Dynamic Systems, Measurement, and Control 123, no. 3 (February 28, 2000): 439–48. http://dx.doi.org/10.1115/1.1386650.
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Bar lapping is a key process in fabricating computer hard disk drive heads. The purpose is to remove a small amount of material so that the transducer stripe height variation across the bar is minimized. In this article a method of simulating the material removal process is established. The Preston model is identified to be a reasonable constitutive relationship relating lapping rate to pressure and relative velocity. A pressure estimation method is established based on the modified beam on elastic foundation model (MBOEF) to incorporate the effect of surface shape. Simulation is conducted based on the proposed constitutive relationship and MBOEF. Results show good agreement with production observations. Hence the simulation model is used as a tool for identifying the structure of the lapping control model. The pressure dynamics of bar lapping is then identified. The process model is constructed based on the pressure dynamics and the Preston model. A controller is then designed using a trajectory following formulation. Simulation of the controller shows that it is robust to parameter uncertainties. This controller is implemented on a Seagate lapping system. Experiment results show that the proposed method is less sensitive than the existing method to the quality of the bar preparation processes prior to lapping. However, the gains should be appropriately adjusted for optimal performance. With good preparation processes and appropriate gains, performance of the proposed and existing methods are statistically comparable. Otherwise, the proposed method performs better. The proposed method is inferior to the existing method only when its gains are improperly adjusted.
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Li, Jun, Bo Geng, Zhixian Lin, Min Chen, Liangyou Shao, Yanmin Zhou, and Yuqing Bao. "Multiagent Consensus Control Strategy considering Whole-Process Thermodynamic Characteristics of Air Conditioning Process." Journal of Electrical and Computer Engineering 2021 (July 28, 2021): 1–10. http://dx.doi.org/10.1155/2021/5543298.
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Due to the distributed and decentralized characteristics of air conditioning load, the distributed control strategy has advantages for the air conditioning load to participate in the demand response. However, existing approaches focus on the dynamic control performance with very few considerations on the cost. To fill this gap, this paper proposes a multiagent consensus control method considering the whole-process response cost of air conditioning. Based on the thermodynamic characteristics of air conditioning load in the load reduction process and recovery process, the cost function curve of air conditioning load is established. Then, the multiagent consensus control strategy is adopted to send the power adjustment information to each air conditioner to realize the optimal control of the air conditioning load. The simulation results verify that the proposed method can take into account the whole-process response cost of air conditioning loads and result in smaller control cost than existing methods.
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Mingming, Huang, Guo Xinjun, Jin Ping, Huang Quanzhen, Liu Yuping, and Li Na. "Flux-weakening control methods for hybrid excitation synchronous motor." Archives of Electrical Engineering 64, no. 3 (September 1, 2015): 427–39. http://dx.doi.org/10.2478/aee-2015-0033.
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Abstract The hybrid excitation synchronous motor (HESM), which aim at combining the advantages of permanent magnet motor and wound excitation motor, have the characteristics of low-speed high-torque hill climbing and wide speed range. Firstly, a new kind of HESM is presented in the paper, and its structure and mathematical model are illustrated. Then, based on a space voltage vector control, a novel flux-weakening method for speed adjustment in the high speed region is presented. The unique feature of the proposed control method is that the HESM driving system keeps the q-axis back-EMF components invariable during the flux-weakening operation process. Moreover, a copper loss minimization algorithm is adopted to reduce the copper loss of the HESM in the high speed region. Lastly, the proposed method is validated by the simulation and the experimental results.
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Liu, Gang, Si Zhong Chen, and Hong Bin Ren. "Matching Analysis on Main Parameter for the Shock Absorber Development Process." Advanced Materials Research 694-697 (May 2013): 393–98. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.393.
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Considering nonlinear characteristics of springiness and damping element, the quarter-car suspension nonlinear dynamic model is established with ADAMS. The simulation model of suspension established, and the simulation curve of nonlinear suspension is gotten by using the numerical simulation methods. The target parameters of the piecewise linear three stage control mode of the shock absorber are studied under the different random road excitation, it would provide the theoretical basic for the nonlinear damping matching of the vehicle suspension system.
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Politano, R., and J. L. Rossi. "The Nitriding of Ferrous Powder Alloys - Mathematical Modelling and Simulation." Materials Science Forum 498-499 (November 2005): 285–92. http://dx.doi.org/10.4028/www.scientific.net/msf.498-499.285.
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Mathematical modelling has been developed to improve processes control and has helped theories about complex systems to be written. Nitriding is a multivariable system that needs the convergence of efforts to allow its improvement. Computer simulation is an important tool to give a simultaneous evaluation of all variables and respective effects in the result of the process. Surface conditions have an important effect in the interaction between gases and metals. Its influence can only be studied under two-dimensional and 3-D simulations. The presence of oxides and other barrier have a critical influence on the kinetic and on the result of the process. Secondary reactions such as precipitation and nitride layer formation also affect the process. Particularly, porosities can have an important effect by enhancing the gas permeation inside the sintered material. Depending on the variables that might be deleterious to the process, the simulations give some indications how to proceed and how to control these process variables. This work show, through simulation tools, how variables such as gas atmosphere, temperature, powder surface conditions, porosity and alloy composition will affect the final result of the nitriding process of sintered and non-sintered powders. A methodology was developed using numerical methods and systemic algorithms.
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Haydn, Michael, Thomas Hauer, and Eberhard Abele. "Methods for the Control of Uncertainty in Multilevel Process Chains Using the Example of Drilling/Reaming." Applied Mechanics and Materials 104 (September 2011): 103–13. http://dx.doi.org/10.4028/www.scientific.net/amm.104.103.
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Uncertainty during production processes has an important influence on the product quality as well as production costs. For multilevel process chains with serially connected processes, additional uncertainty can be caused by the previous step. The manufacturing of precision holes by drilling and reaming is an important multilevel process chain. The interactions between machine, tool and pre-drilled hole cause process errors during the quality determinant final reaming process. In this paper, a systematic approach for the identification and control of uncertainty during the reaming process is presented. Thus, the influence of key aspects like skewness of pre-drilled hole or the influences of material strength gradients are analyzed. Further, simulation models for the consideration of these uncertainties are presented.
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Cedeno, Rogger José Andrade, Jesús Alberto Pérez Rodríguez, Carlos David Amaya Jaramillo, Ciaddy Gina Rodríguez Borges, Endrickson Ramón Vera Cedeno, Luis Santiago Quiroz Fernández, and Yolanda Eugenia Llosas Albuerne. "Comparative study by numerical simulation of two methods for automatic flow control in centrifugal pumps." International Journal of Power Electronics and Drive Systems (IJPEDS) 13, no. 3 (September 1, 2022): 1365. http://dx.doi.org/10.11591/ijpeds.v13.i3.pp1365-1379.
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Flow rate and pressure are variables of great interest in the process control industry, especially in pumping systems. With the help of modeling and simulation, it is possible to understand the operation of these systems prior to their construction, in addition to allowing their behavior to be analyzed in various operational scenarios and testing different control strategies. In this work, the hydraulic, mechanical, electrical and electronic models of the different components of the system are studied. Two study cases for automatic flow control are assembled, using Simscape library from MATLAB/Simulink R2019b. This study cases are: i) with a control valve and ii) with a variable speed drive. The simulations determined that both cases keep the flow constant in the face of pressure disturbances, with a good dynamic response. Case 2 consumes less power than case 1, between 24 and 64% less, especially at low flow rates. It also reduce unwanted mechanical and electrical problems due to sudden starts and stops. Case 2 produced harmonic pollution on both the grid and motor sides, which implies a potential risk for the motor and the electrical grid. Case 2 was experimentally validated, obtaining errors of less than 10%.
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Juhás, Martin, Igor Halenár, and Bohuslava Juhásová. "Utilization of Advanced Methods in the Control of a Mechatronic System with Flexible Elements." Research Papers Faculty of Materials Science and Technology Slovak University of Technology 24, no. 39 (December 1, 2016): 77–84. http://dx.doi.org/10.1515/rput-2016-0020.
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Abstract Analysis of the negative impact of a mechatronic system with the flexible elements parameter error and the possibilities of impact reduction are presented in this contribution. Two advanced methods – the Model Predictive Control method and the inclusion of an LMS filter into the control process are proposed for the reduction of the insufficient effect of a double notch filter, which was initially integrated into the system for elimination of two-mass flexible joint parasitic frequencies. Simulation experiments results – response of system angular velocity and control process quality analysis confirmed the correctness of the proposition for the usage of these progressive control elements.
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Dorovskoy, Vladimir Alekseevich, Vladislav Aleksandrovich Kucherenko, Elena Gennad'evna Zinchenko, and Kirill Sergeevich Chernobai. "Identification of ship equipment processes by methods of introspective analysis." Vestnik of Astrakhan State Technical University. Series: Marine engineering and technologies 2022, no. 2 (May 31, 2022): 65–72. http://dx.doi.org/10.24143/2073-1574-2022-2-65-72.
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For introspective identification of the automatic control system (ACS) of a DC motor there has been developed a specific simplified technique of studying the optimization of a linear automatic control system. The technique is based on using the MATLAB computer simulation program, which helps to easily obtain the transition function of the ACS model, on the understanding a few ACS properties and using the directed search method. The work can be done in three stages, in accordance with the tasks. Draft models are considered, in which the researcher must set up the parameters of the elements, activate the simulation process and keeping under control the type of the transient function select the values of the optimal gains of the controllers. The time constant of the PI controller is chosen equal to the largest time constant of the ACS loop elements. It is often the time constant of the control object. In this case it is the time constant of a DC motor. The optimal choice of the system will also determine the tasks of identification, due to which it will be possible to correctly select a technological object by a specific ACS, its control variable and disturbance to provide the solution of the problem facing ACS. The static characteristics of an object determine the dependence of the controlled variable on the controlling variable and disturbances. In simple cases they can be obtained analytically by using the physical laws that link the controlled variable to the input parameters. Parametric optimization of indicators has been identified and tested on simulation examples in a simulation package and makes it possible to judge the correctness of simulation with a minimum error value.
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Denkena, Berend, Marcel Wichmann, and Julia Huuk. "Digitale Werkstückmodelle in der Prozessplanung/Application of shape error prediction in adaptive process planning for milling – Digital workpiece-models in process planning." wt Werkstattstechnik online 112, no. 11-12 (2022): 762–66. http://dx.doi.org/10.37544/1436-4980-2022-11-12-36.
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Innerhalb der CAD/CAM-Kette werden verschiedene digitale Werkstückmodelle eingesetzt, um Geometrien darzustellen oder Informationen zu visualisieren. Im Rahmen der NC-Simulation wird ein Dexel-Modell eingesetzt, welches die Möglichkeit bietet Simulations-, Prozess- und Qualitätsdaten lokal im Werkstück zu speichern. Es bietet somit eine umfangreiche Basis für das Training von ML-Modellen. In diesem Beitrag wird der Einsatz des digitalen Werkstückmodells am Beispiel eines Schaftfräsprozesses mit anschließender Formfehlerprognose dargestellt. Darauf aufbauend wird eine Methode vorgestellt, welche die prognostizierten Formfehler im Rahmen einer adaptiven Prozessplanung durch eine zusätzliche Zustellung und ein Neigen des Fräsers kompensiert. Within the CAD/CAM-chain, different digital workpiece models are used to define geometries or to visualize information. In the context of NC simulation, a Dexel-model is used, which offers the possibility to store simulation, process and quality data locally within the workpiece. Thus offering an extensive basis for the training of ML-models. In this paper, the application of a digital workpiece model is presented using the example of an end milling process with subsequent shape-error-prediction. Based on this, a method compensating the predicted shape errors using adaptive process planning to increase the width of cut and adjust the tilt of the mill is described.