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1
张, 品. "A Research Based on Adaptive Rate Limiting Congestion Control Algorithm." Hans Journal of Wireless Communications 05, no. 01 (2015): 36–42. http://dx.doi.org/10.12677/hjwc.2015.51006.
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Wand, Yair, and Ron Weber. "Limiting the Search Space during Controls Evaluation of a Modified Information System." Journal of Information Systems 32, no. 3 (September 1, 2017): 91–111. http://dx.doi.org/10.2308/isys-51908.
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ABSTRACT Controls must be changed when information systems are modified. Audit, assurance, and quality-control (AAQC) personnel must evaluate the reliability of controls in the new system versions. Based on Bunge (1977, 1979) and Wand and Weber (1989a, 1990), we describe a model and search-space algorithm that AAQC personnel can use to determine where required control changes are likely to be located in the new system version, thereby mitigating the need for an exhaustive evaluation of all controls. To use the model and algorithm, AAQC personnel must have (1) accurate and complete requirements specifications for the old and new versions of the system, (2) a controls specification for the old version that covers all errors and irregularities that might occur, (3) evidence to conclude all controls for the old version are in place, adequate, and working, and (4) specifications for the new version expressed as a level structure of systems and subsystems.
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Ait Sahed, Oussama, Kamel Kara, and Mohamed Laid Hadjili. "Constrained Fuzzy Predictive Control Using Particle Swarm Optimization." Applied Computational Intelligence and Soft Computing 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/437943.
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A fuzzy predictive controller using particle swarm optimization (PSO) approach is proposed. The aim is to develop an efficient algorithm that is able to handle the relatively complex optimization problem with minimal computational time. This can be achieved using reduced population size and small number of iterations. In this algorithm, instead of using the uniform distribution as in the conventional PSO algorithm, the initial particles positions are distributed according to the normal distribution law, within the area around the best position. The radius limiting this area is adaptively changed according to the tracking error values. Moreover, the choice of the initial best position is based on prior knowledge about the search space landscape and the fact that in most practical applications the dynamic optimization problem changes are gradual. The efficiency of the proposed control algorithm is evaluated by considering the control of the model of a 4 × 4 Multi-Input Multi-Output industrial boiler. This model is characterized by being nonlinear with high interactions between its inputs and outputs, having a nonminimum phase behaviour, and containing instabilities and time delays. The obtained results are compared to those of the control algorithms based on the conventional PSO and the linear approach.
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Li, Ting Gui, and Gang Li. "Annular Heating Furnace Temperature Control Based on the Fuzzy-PID Algorithm and Cascade Double-Cross Limiting Control." Applied Mechanics and Materials 556-562 (May 2014): 2478–82. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2478.
Повний текст джерелаАнотація:
Annular heating furnace temperature control is a typical and complex industrial process control system,with the characteristics of multivariable,time-varying parameters,nonlinear,coupling, large inertia and pure delay,so it is difficult to obtain satisfactory control effect when using conventional PID control. In view of the above problems, adopting fuzzy PID algorithm and cascade double-cross limiting control, combustion control effect is greatly improved, self-tuning of PID parameters is realized, and control quality is enhanced. The experimental results show that, fuzzy PID control shows good dynamic and steady performance, its control effect is significantly improved when compared with conventional PID control, and it has better overall performance.
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Abbas, Mohammed Qasim, and Yaser Atta Yassin. "Modification of speed and current limiting performance of BLDC motor based on harmony search optimization method." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 1 (April 1, 2020): 549. http://dx.doi.org/10.11591/ijeecs.v18.i1.pp549-557.
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The brushless DC (BLDC) motor is a multi-variable and non-linear system so that it's required more advanced explaining and controlling set. In this work, an algorithm is proposed based on the harmony search algorithm (HAS) method. HSA mimics music improvisation process to find the optimal solution. In BLDC motor, many constraints are required; speed performance and current limiting control are dominated. HAS is proposed to find the optimal PID parameters for the two speed and current-limiting controllers that are proposed in the drive. By Matlab/Simulink results, a good performance is shown compared with the classical method that absence current-limiting controller.
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Cui, Jing Jun. "Motor Drive Control Based on Microcontroller and PID." Applied Mechanics and Materials 484-485 (January 2014): 511–14. http://dx.doi.org/10.4028/www.scientific.net/amm.484-485.511.
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This paper describes the incremental PID control algorithm and the basic principles of motor soft start, and introduced STM32F103RB8 basic performance microcontroller, combined with incremental PID control advantages, and gives MCU in motor soft start process control application. Practice shows that the incremental PID applications, simplifying the control ideas to improve the performance of the current loop control, limiting the starting current, smooth start-up speed, and achieved good results motor start.
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Du, Xian Jun, Xiao Hong Hao, and Ping Yu. "A Clonal Selection Algorithm Based Optimization of Activated Sludge Process." Advanced Materials Research 490-495 (March 2012): 19–23. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.19.
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A Clonal Selection Algorithm (CSA) was used in this article to the wastewater biological treatment activated sludge process optimization with the lowest operational costs by limiting total substrate discharge mass. A simulation result shows that the method is efficiency, and it also provides a new approach for other optimal control problem.
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Knaga, Jarosław, Stanisław Lis, Sławomir Kurpaska, Piotr Łyszczarz, and Marcin Tomasik. "Optimisation of Energy Use in Bioethanol Production Using a Control Algorithm." Processes 9, no. 2 (February 2, 2021): 282. http://dx.doi.org/10.3390/pr9020282.
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In this work, the possibility of limiting energy consumption in the manufacturing process of bioethanol to obtain biofuel was analysed. For this purpose, a control algorithm has been optimised while retaining the good quality of the control signals. New in this study is the correlation of the control algorithm not only with the signal’s quality, but also with the energy consumption in such an energy-intensive process as rectification. The rectification process in a periodic production system has been researched. The process was modelled on a test station with the distillation mixture capacity of 25 dm3. For the optimization, the following control algorithms have been applied: relay, PID and PID after modification to I-PD. The simulation was carried out on a transfer function model of the plant that has been verified on a real object, a rectification column. The simulations of energy consumption and control signal’s quality have been carried out in the Matlab®-Simulink environment after implementing the model of the research subject and control algorithms. In the simulation process, an interference signal with an amplitude of 3% and frequency of 2 mHz was used. The executed analyses of the control signal quality and the influence of the control algorithm on the energy consumption has shown some essential mutual relationships. The lowest energy consumption in the rectification process can be achieved using the I-PD controller—however, the signal quality deteriorates. The energy savings are slightly lower while using the PID controller, but the control signal quality improves significantly. From a practical point of view, in the considered problem the best control solution is the classic PID controller—the obtained energy effect was only slightly lower while retaining the good quality of the control signals.
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Lee, Taehyun, Eungsu Han, Un-Chul Moon, and Kwang Y. Lee. "Supplementary Control of Air–Fuel Ratio Using Dynamic Matrix Control for Thermal Power Plant Emission." Energies 13, no. 1 (January 2, 2020): 226. http://dx.doi.org/10.3390/en13010226.
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This paper proposes a supplementary control for tighter control of the air–fuel ratio (AFR), which directly affects the environmental emissions of thermal power plants. Dynamic matrix control (DMC) is applied to the supplementary control of the existing combustion control loops and the conventional double cross limiting algorithm for combustion safety is formulated as constraints in the proposed DMC. The proposed supplementary control is simulated for a 600-MW drum-type power plant and 1000 MW ultra-supercritical once-through boiler power plant. The results show the tight control of the AFR in both types of thermal power plants to reduce environmental emissions.
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Ma, Li, Jiayuan Shan, Junhui Liu, and Yan Ding. "Missile IGC Based on Improved Model Predictive Control and Sliding Mode Observer." International Journal of Aerospace Engineering 2021 (November 16, 2021): 1–14. http://dx.doi.org/10.1155/2021/9680346.
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Considering recurrent optimization process in model predictive control (MPC), the model uncertainties and disturbances terms in the missile’s guidance and control model can degrade recursive feasibility, and there are control mutation problems in common MPC algorithm. This paper presents a disturbance rejection model predictive control algorithm for missile integrated guidance and control (IGC). Firstly, a sliding mode observer (SMDO) is designed to estimate the unknown disturbances caused by target maneuvering. Secondly, the method of optimizing control increment is adopted in MPC to avoid the phenomenon of control mutation in the model calculation. By limiting the control increment in each cycle, it ensures the continuity of the control input. Thirdly, by combining the SMDO and MPC, an IGC algorithm is presented, and the stability of the algorithm is proved by using Lyapunov stability theory. Finally, the simulation results with different impact angles verify the effectiveness of the proposed algorithm for intercepting maneuver target.
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Kotla, Rahul Wilson, and Srinivasa Rao Yarlagadda. "Grid Tied Solar Photovoltaic Power Plants with Constant Power Injection Maximum Power Point Tracking Algorithm." Journal Européen des Systèmes Automatisés 53, no. 4 (September 30, 2020): 567–73. http://dx.doi.org/10.18280/jesa.530416.
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Day to day there is an increase in installations of new Solar Photovoltaic Power plants (SPVPP’s) which directly reflects the grid. As the SPVPP’s output power is fluctuating in nature, which is directly injected to the utility grid faces the challenges like overloading. Therefore, to overcome the overloading situations of grid, its infrastructure should be replaced by higher ratings which will increase the system cost. Due to this there is a need to limit the grid injected power from SPVPP’s to overcome the overloading situations. In this article a Constant power injection (CPI) algorithm is used to control the feed in power to grid as per grid regulations. Based on the instantaneous SPVPP’s output power and power limiting value this strategy will controls the output power by switching between the incremental conductance maximum power point tracking (InC-MPPT) algorithm and CPI algorithm. The proposed InC-CPI algorithm is applied to the single phase two-stage (SPTS) systems with the working region is on the left side of maximum power point (MPP) for maintaining the system to be in stable conditions. In this article the InC-CPI and the perturb and observe (P&O)-CPI algorithms were compared, and results were analyzed. The proposed control algorithm is designed using Matlab/Simulink and the results taken for both clear and cloudy days with wide varying climatic conditions.
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Saravanan, Mr V., and Mr N. Sunil Vignesh. "Effective Active Noise Control algorithm for gain and power constraints with limiting factor using adaptive filter." IOSR Journal of Electronics and Communication Engineering 9, no. 3 (2014): 24–29. http://dx.doi.org/10.9790/2834-09312429.
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Hu, Xu, Peng Lu, Yan Yang, Chunpeng Pan, Guoguo Wu, and Yan Ping. "Design of DC motor controller based on MBD." Journal of Physics: Conference Series 2125, no. 1 (November 1, 2021): 012069. http://dx.doi.org/10.1088/1742-6596/2125/1/012069.
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Abstract This paper designs a direct current (DC) motor controller based on Arduino and Simulink to solve the problems of poor openness, complicated programming and difficult signal detection of the existing teaching experimental equipment. The controller integrates the Model-Based Design (MBD) concept, involving single-chip microcomputer, system modeling, micromotor, automatic control and other technologies. The hardware system includes Arduino, encoder, driver, input/output and other interfaces. The software system uses Simulink as the software development platform of the experimental device. It has the functions of algorithm design, simulation, execution, real-time data observation, etc. The limiting incremental PID control algorithm is used to control the speed of the DC motor, and the experimental results verify the design requirements. The hardware and software systems have the characteristics of good openness, fast implementation, safe and reliable, low cost, can complete the verification and improvement of various algorithms such as motor control, and can meet the teaching and research needs of the training of new engineering and technology.
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Cottrell, M., and T. S. Turova. "Use of an hourglass model in neuronal coding." Journal of Applied Probability 37, no. 01 (March 2000): 168–86. http://dx.doi.org/10.1017/s0021900200015321.
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We study a system of interacting renewal processes which is a model for neuronal activity. We show that the system possesses an exponentially large number (with respect to the number of neurons in the network) of limiting configurations of the ‘firing neurons’. These we call patterns. Furthermore, under certain conditions of symmetry we find an algorithm to control limiting patterns by means of the connection parameters.
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Cottrell, M., and T. S. Turova. "Use of an hourglass model in neuronal coding." Journal of Applied Probability 37, no. 1 (March 2000): 168–86. http://dx.doi.org/10.1239/jap/1014842275.
Повний текст джерелаАнотація:
We study a system of interacting renewal processes which is a model for neuronal activity. We show that the system possesses an exponentially large number (with respect to the number of neurons in the network) of limiting configurations of the ‘firing neurons’. These we call patterns. Furthermore, under certain conditions of symmetry we find an algorithm to control limiting patterns by means of the connection parameters.
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Kolesnikova, S. I. "Application of regression in algorithm of nonlinear stochastic adaptation of unstable multidimensional objects." Journal of Physics: Conference Series 2099, no. 1 (November 1, 2021): 012064. http://dx.doi.org/10.1088/1742-6596/2099/1/012064.
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Abstract The results of a study of applicability of kernel estimation in the synergetic control systems for the objects unstable in an open-loop state (without a stabilizing control) have been presented. The effectiveness of kernel estimates has been shown for four nonlinear objects with unstable limiting states. The estimate the effectiveness of embedding the kernel predictive estimate of the state variables of a nonlinear object, subjected to disturbances of an unknown nature, into the system of synergetic control is demonstrated.
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Xu, Zhongyan, Shengyu Tao, Hongtao Fan, Jie Sun, and Yaojie Sun. "Power Limit Control Strategy for Household Photovoltaic and Energy Storage Inverter." Electronics 10, no. 14 (July 16, 2021): 1704. http://dx.doi.org/10.3390/electronics10141704.
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The increased installation capacity of grid-connected household photovoltaic (PV) systems has been witnessed worldwide, and the power grid is facing the challenges of overvoltage during peak power generation and limited frequency regulation performance. With the dual purpose of enhancing the power grid safety and improving the PV utilization rate, the maximum feed-in active power can be regulated by modifying the maximum power point tracking (MPPT) algorithm and battery energy storage (BES) accessibility as control instructions. However, the existing methods not only waste installed PV capacity, but it becomes no longer accessible when the state of charge (SOC) of the BES approaches its upper limit. In response to the above problem, this paper proposes a power limit control strategy to coordinate the MPPT algorithm and the BES accessibility. The proposed strategy directly controls the inverter output current according to the power limit instructions from the electric operation control centers, leading to a bus voltage difference. The difference serves as a control signal for BES and PV. Under a power-limiting scenario, priority is given to power regulation through energy storage to absorb the limited active power. When the SOC of the BES reaches the upper limit of charging, modification of the PV MPPT algorithm facilitates the inverter output power to meet the power limit requirements. To further verify the effectiveness of the proposed power limit control strategy, both simulation and experimental studies are conducted, which consistently indicated a synchronized inverter current with grid voltage and a rapid power response of the power-limiting instruction within 0.2 s. The power limit control strategy not only improves the PV energy utilization but also supports the safe and reliable operation of the power gird in the context of soaring renewable energy penetration.
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Plummer, A. R., and N. D. Vaughan. "Robust Adaptive Control for Hydraulic Servosystems." Journal of Dynamic Systems, Measurement, and Control 118, no. 2 (June 1, 1996): 237–44. http://dx.doi.org/10.1115/1.2802309.
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The application of an indirect (self-tuning) adaptive controller to an electro-hydraulic positioning system is described. The underlying control method is pole placement, with the addition of a demand filter to allow noise effects to be reduced without degrading closed-loop performance. Recursive least squares is used to estimate the plant parameters, but the data is pre-filtered to reduce bias. A novel covariance trace limiting algorithm provides estimator reliability despite periods of insufficient excitation. Off-line system identification is employed to help controller design for the electro-hydraulic servosystem. The resulting controller performs well, and adapts rapidly to changes in load stiffness and supply pressure.
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Wu, Xiao Jian, Guo Kun Zuo, Zhong Zhu Yang, and Shang Qing Xiao. "Research on a Denoising Method of the Force Sensor Signal Based on Multiple Filter." Applied Mechanics and Materials 727-728 (January 2015): 620–25. http://dx.doi.org/10.4028/www.scientific.net/amm.727-728.620.
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Forcesensor is very important in the rehabilitation robot. However, the force sensorsignals will introduce noise easily on the process of transmitting, amplifyingand sampling, which is very unfavorable for the robot motion control. Thispaper reviews the common digital filtering algorithm and analyzes theirprinciples, advantages and disadvantages, then designs an improved filteringalgorithm combines the limiting filtering algorithm withthe first-order lag filtering algorithm. At last, this paper verifies thefiltering effect by theoretical analysis, simulation and experiments.
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Xian, Ren. "Research of the Inverter Control Strategy Based on the Ant Colony Algorithm and the Fuzzy Control Method." Open Electrical & Electronic Engineering Journal 10, no. 1 (April 29, 2016): 27–35. http://dx.doi.org/10.2174/1874129001610010027.
Повний текст джерелаАнотація:
This paper proposes a hybrid control strategy of single-phase inverter, and it makes combination the fuzzy control technology and instantaneous feedback control technology of the current, and it solves the problem of load uncertainty and load model is difficult to established. Through ant colony optimization algorithm the problem that control parameters to solve the problem of the fuzzy control are depended on expert experience is solved. And on the basis of fuzzy voltage outer, the loop current inner loop is added, and through using current loop, it can effectively restrain the load disturbance, current limiting step in the current inner ring at the same time, thus it solve the inverter power supply for impact load adaptability. It not only can make the inverter power supply system output high quality steady-state voltage waveform, but also it can get fast dynamic response. Finally under the environment of Matlab simulation, the simulation results are demonstrated, the feasibility and effectiveness of the proposed compound control strategy are also verfied.
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Abbasov, A. E. "Mathematical model of management of recirculation of motor aggregates." Informacionno-technologicheskij vestnik 12, no. 2 (June 30, 2017): 25–35. http://dx.doi.org/10.21499/2409-1650-2017-2-25-35.
Повний текст джерелаАнотація:
A mathematical model of management of recirculation of motor units is developed. It is shown that the efficiency of recirculation control is achieved with a decrease in the content of toxic substances in the exhaust; Limiting the maximum combustion temperature of the fuel and the pressure in the combustion chamber; Speed control. Based on the mathematical model, an algorithm is developed for calculating the control dependence for the regulation of the position of the electromechanical recirculation valve in specialized graphic computer environments with three-dimensional and two-dimensional visualization of analysis and calculation results. Calculation of the amount of emissions of harmful substances without the developed algorithm and using the developed algorithm is carried out.
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Liu, Yu, and Ji Ke Gao. "Research and Test on Token Bucket Algorithm in LTE System." Applied Mechanics and Materials 543-547 (March 2014): 2063–66. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2063.
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Token bucket algorithm is a common algorithm used for traffic shaping and rate limiting. In LTE (Long Term Evolution) system, RRC (Radio Resource Control) layer configures priority, PBR (prioritisedBitRate), and BSD (bucketSizeDuration) for every logical channel so that lower priority channel can also get resource and bursting data can be sent in a short time. This paper firstly introduces application of token bucket algorithm in LTE system. And the test procedure is designed to test the algorithm. Test result shows that the algorithm is used in LTE system successfully. The algorithm has been used in TD-LTE radio frequency conformance testing instrument.
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Elsukov, Vladimir, Vjacheslav Lachin, and Vladimir Pavlov. "Synthesis of Control Systems with Sign-To-Effect Compensating Feedback in Conditions of Limited Uncertainty." Известия высших учебных заведений. Электромеханика 63, no. 5 (2020): 40–45. http://dx.doi.org/10.17213/0136-3360-2020-5-40-45.
Повний текст джерелаАнотація:
The algorithm of structural and parametric synthesis of automatic control systems for limitedly uncertain non-linear objects with unstable balance status and right own values in their exit matrix is proposed. The pecu-liarity of the structural synthesis algorithm is that synthesized automatic control systems use differential com-pensating connection with two components. The signal of one of them is proportional to the signal of disa-greement between the required and measured values of the state vector of the system. A signal of another com-ponent is formed by the sign-operated integral feedback on the module of the control influence. The algorithm of parametric synthesis is reduced to solving the problem at a conditional minimum of integral regulatory error when limiting the characteristic frequency multi-member module to an algorithmically linearized system.
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Apiecionek, Łukasz. "Limiting Energy Consumption by Decreasing Packets Retransmissions in 5G Network." Mobile Information Systems 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/4291091.
Повний текст джерелаАнотація:
This article presents the potential of using Multipath Transmission Control Protocol for limiting the energy consumption in 5G network. The number of errors occurring during packet transmissions and in effect the number of retransmissions affect the consumption of energy by the devices in the network. The paper analyzes the potential energy savings from implementing an algorithm for detecting problems and predicting the future retransmissions. Although this is the main object of the paper, it must be emphasized that the proposed method also allows increasing the speed of transmission and improving the security of the data and it is easy to implement in 5G networks.
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Пугачев, Александр, Aleksandr Pugachev, Владимир Воробьев, Vladimir Vorobev, Андрей Космодамианский, and Andrey Kosmodamianskiy. "Control system of tractive induction motor with power loss minimization." Bulletin of Bryansk state technical university 2015, no. 2 (June 30, 2015): 55–61. http://dx.doi.org/10.12737/22898.
Повний текст джерелаАнотація:
The mathematical model of induction motor taking power losses in stator and rotor iron and typical non-linearity is designed. The algorithm of optimal flux linkage reference providing power loss minimization is developed with regard to vector control. The induction motor stator current and voltage limits, the diesel generator unit power are chosen as a limiting factor. The tractive induction motor control system providing the direct regulation of wheel sliding for protection from slipping and having the internal system of power loss minimization is designed. The results of simulation are presented.
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Xu, X. F., L. M. Tang, and G. Q. Tong. "Comparative Study of Element Formulation on Simulation of Superplastic Forming." Materials Science Forum 551-552 (July 2007): 281–86. http://dx.doi.org/10.4028/www.scientific.net/msf.551-552.281.
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A comparative study of different element formulations in simulating superplastic forming with the MARC finite element code is performed in the paper. Simulations were accomplished with solid, shell, membrane elements to predict forming characteristics and pressure-time curves. Finite element analysis (FEA) predictions of SPF pressure-time curves were found to be greatly affected by the element type and the strain rate control algorithms. Two strain rate control algorithms were applied in the present study: an algorithm based on limiting the rate of deformation with the average strain rate of all the elements, i.e. the build-in method in MARC, and a second algorithm which limits the rate of deformation based on the average strain rate of the elements with the 20 highest strain rates. The resulting pressure-time curves for each of these formulations were compared with respect to each type of element. Under the guide of the analysis, the die was fabricated and the AA5083 bracket was successfully manufactured. Good agreement was obtained between predicted and measured thickness in the part.
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Yang, Yu De, Le Qi, and Wei Wei. "Preventive Security-Constrained Optimal Power Flow with Constraints Limiting the Number of Beforehand Control Actions." Applied Mechanics and Materials 341-342 (July 2013): 1429–33. http://dx.doi.org/10.4028/www.scientific.net/amm.341-342.1429.
Повний текст джерелаАнотація:
This paper proposes a new formulation of the preventive security-constrained optimal power flow (PSCOPF) which considers the constraints limiting the number of beforehand control actions and provides an approach to convert the proposed model to a nonlinear programming (NLP) which is more tractable by implementing an interior point algorithm (IPA). The proposed model and approach are illustrated on two standard test systems of IEEE-30 and IEEE-118. The results clearly indicate the system operation state can be changed from a given operation point to a PSCOPF satisfied operation point by exerting beforehand control actions in specified number. Furthermore, a minimum number of control actions can be obtained through this new formulation.
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Gubert, Toni Cantero, Alba Colet, Lluc Canals Casals, Cristina Corchero, José Luís Domínguez-García, Amelia Alvarez de Sotomayor, William Martin, Yves Stauffer, and Pierre-Jean Alet. "Adaptive Volt-Var Control Algorithm to Grid Strength and PV Inverter Characteristics." Sustainability 13, no. 8 (April 16, 2021): 4459. http://dx.doi.org/10.3390/su13084459.
Повний текст джерелаАнотація:
The high-penetration of Distributed Energy Resources (DER) in low voltage distribution grids, mainly photovoltaics (PV), might lead to overvoltage in the point of common coupling, thus, limiting the entrance of renewable sources to fulfill the requirements from the network operator. Volt-var is a common control function for DER power converters that is used to enhance the stability and reliability of the voltage in the distribution system. In this study, a centralized algorithm provides local volt-var control parameters to each PV inverter, which are based on the electrical grid characteristics. Because accurate information of grid characteristics is typically not available, the parametrization of the electrical grid is done using a local power meter data and a voltage sensitivity matrix. The algorithm has different optimization modes that take into account the minimization of voltage deviation and line current. To validate the effectiveness of the algorithm and its deployment in a real infrastructure, the solution has been tested in an experimental setup with PV emulators under laboratory conditions. The volt-var control algorithm successfully adapted its parameters based on grid topology and PV inverter characteristics, achieving a voltage reduction of up to 25% of the allowed voltage deviation.
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VELTHUIS, A. G. J., M. C. M. DE JONG, J. DE BREE, G. NODELIJK, and M. VAN BOVEN. "Quantification of transmission in one-to-one experiments." Epidemiology and Infection 128, no. 2 (April 25, 2002): 193–204. http://dx.doi.org/10.1017/s0950268801006707.
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We study the statistical inference from data on transmission obtained from one-to-one experiments, and compare two algorithms by which the reproduction ratio can be quantified. The first algorithm, the transient state (TS) algorithm, takes the time course of the epidemic into account. The second algorithm, the final size (FS) algorithm, does not take time into account but is based on the assumption that the epidemic process has ended before the experiment is stopped. The FS algorithm is a limiting case of the TS algorithm for the situation where time tends to infinity. So far quantification of transmission has relied almost exclusively on the FS algorithm, even if the TS algorithm would have been more appropriate. Its practical use, however, is limited to experiments with only a few animals. Here, we quantify the error made when the FS algorithm is applied to data of one-to-one experiments not having reached the final size. We conclude that given the chosen tests, the FS algorithm underestimates the reproduction ratio R0, is liberal when testing H0[ratio ]R0[ges ]1 against H1[ratio ]R0<1, is conservative when testing H0[ratio ]R0[les ]1 against H1[ratio ]R0>1 and calculates the same probability as the TS algorithm when testing H0[ratio ]R0-control = R0-treatment against H1[ratio ]R0-control>R0-treatment. We show how the power of the test depends on the duration of the experiments and on the number of replicates. The methods are illustrated by an application to porcine reproductive and respiratory syndrome virus (PRRSV).
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Zhou, Feng, Kewu Tao, and Ge Zheng. "Distributed Cruise Control and Comfort Evaluation for High-speed Trains Under Moving Block Mode." Journal of Physics: Conference Series 2203, no. 1 (February 1, 2022): 012062. http://dx.doi.org/10.1088/1742-6596/2203/1/012062.
Повний текст джерелаАнотація:
Abstract This paper investigates the problems of distributed cooperative cruise control and train running comfort for high-speed trains with input constraints under moving block mode. Firstly, inspired by the mode of hitting a hard wall for moving block, a distributed cooperative cruise control algorithm based on the position and speed state information of adjacent trains is proposed. Under this control algorithm, all trains can track the given speed and realize speed cruise. In this algorithm, the relationship between speed and displacement is used to improve the position term, so as to achieve the minimum safe distance between trains by adjusting the speed. Secondly, aiming at the problem of the excessive acceleration of each train in the moving block mode, the hyperbolic tangent function is introduced to limit the acceleration of each train in an appropriate range by limiting the control input. Finally, the stability of the closed-loop system in error state is proved by using Lyapunov stability theorem, and the feasibility of the algorithm is verified by simulation.
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Padthe, Ashwani K., and Peretz P. Friedmann. "Simultaneous Blade–Vortex Interaction Noise and Vibration Reduction in Rotorcraft Using Microflaps, Including the Effect of Actuator Saturation." Journal of the American Helicopter Society 60, no. 4 (October 1, 2015): 1–16. http://dx.doi.org/10.4050/jahs.60.042002.
Повний текст джерелаАнотація:
The effectiveness of a sliding microflap to simultaneously reduce rotorcraft vibrations and noise was examined at a descending flight condition of advance ratio 0.15 with significant blade–vortex interactions (BVI). two configurations, namely dual and a five-microflap configuration, were considered. Closed-loop control studies were conducted on a hingeless rotor configuration resembling MBB BO-105, using the adaptive higher harmonic control algorithm. The performance of the microflap was also compared to a conventional trailing-edge plain flap. The results demonstrate the effectiveness and control authority of the microflap for simultaneous BVI noise and vibration reduction in rotorcraft. Finally, a new saturation control algorithm is developed for limiting the microflap or flap deflections such that the best utilization of on-blade controllers implemented through multiple control surfaces is achieved. The performance of the new algorithm is compared to the existing ones on the dual and five-microflap configurations.
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Toropov, Anton, and Liliya Toropova. "INVESTIGATION OF COMPRESSOR START-UP OF CONE DRILLING RIG WITH CURRENT LIMITING FUNCTION." Geoengineering, no. 5 (May 17, 2021): 24–29. http://dx.doi.org/10.20535/2707-2096.5.2021.226676.
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The article deals with the problem of investigation of the system "soft starter- induction motor" for compressing equipment of cone drilling machine. Also refined mathematical model of the system, taking into account the behavior of compressor load, as well as existing working algorithm of the stator current control block is developed. The problems of choice of starting mode of compressing equipment are considered, the necessity of full research of the electric drive system with the methods of numerical modeling is determined. The basic parameters which have to be specified and corrected by the designer of the electromechanical system of the compressor during equipment commissioning are determined. Further, an algorithm for firing angle control of power thyristors, which used in modern soft starters, produced by WEG Company, is implemented. After that, the simulation of the procedure for starting the compressor induction motor using thyristors soft starter with the stator current limiting function is performed. As a result of modeling using application Simulink of software environment ATLAB, the graphs of transients for the most important working parameters, such as stator windings current, shaft rotation speed, load torque and firing angle for thyristors are obtained. The analysis of the obtained results, as a result of which formulated the conclusions on the possibility of using soft starters for the cone drill rig compressors is made. It has been determined that in the case of almost linear behavior of compressor load, the motor starts with a smooth change of speed without significant fluctuations of electric motor stator currents. It is proposed to use the current limiting function for easy starting modes and current control functions with an initial kick of torque.
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Asadi, Houshyar, Chee Peng Lim, Arash Mohammadi, Shady Mohamed, Saeid Nahavandi, and Lakshmanan Shanmugam. "A genetic algorithm–based nonlinear scaling method for optimal motion cueing algorithm in driving simulator." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 232, no. 8 (May 21, 2018): 1025–38. http://dx.doi.org/10.1177/0959651818772940.
Повний текст джерелаАнотація:
A motion cueing algorithm plays an important role in generating motion cues in driving simulators. The motion cueing algorithm is used to transform the linear acceleration and angular velocity of a vehicle into the translational and rotational motions of a simulator within its physical limitation through washout filters. Indeed, scaling and limiting should be used along within the washout filter to decrease the amplitude of the translational and rotational motion signals uniformly across all frequencies through the motion cueing algorithm. This is to decrease the effects of the workspace limitations in the simulator motion reproduction and improve the realism of movement sensation. A nonlinear scaling method based on the genetic algorithm for the motion cueing algorithm is developed in this study. The aim is to accurately produce motions with a high degree of fidelity and use the platform more efficiently without violating its physical limitations. To successfully achieve this aim, a third-order polynomial scaling method based on the genetic algorithm is formulated, tuned, and implemented for the linear quadratic regulator–based optimal motion cueing algorithm. A number of factors, which include the sensation error between the real and simulator drivers, the simulator’s physical limitations, and the sensation signal shape-following criteria, are considered in optimizing the proposed nonlinear scaling method. The results show that the proposed method not only is able to overcome problems pertaining to selecting nonlinear scaling parameters based on trial-and-error and inefficient usage of the platform workspace, but also to reduce the sensation error between the simulator and real drivers, while satisfying the constraints imposed by the platform boundaries.
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Calamaro, Netzah, Moshe Donko, and Doron Shmilovitz. "A Highly Accurate NILM: With an Electro-Spectral Space That Best Fits Algorithm’s National Deployment Requirements." Energies 14, no. 21 (November 7, 2021): 7410. http://dx.doi.org/10.3390/en14217410.
Повний текст джерелаАнотація:
The central problems of some of the existing Non-Intrusive Load Monitoring (NILM) algorithms are indicated as: (1) higher required electrical device identification accuracy; (2) the fact that they enable training over a larger device count; and (3) their ability to be trained faster, limiting them from usage in industrial premises and external grids due to their sensitivity to various device types found in residential premises. The algorithm accuracy is higher compared to previous work and is capable of training over at least thirteen electrical devices collaboratively, a number that could be much higher if such a dataset is generated. The algorithm trains the data around 1.8×108 faster due to a higher sampling rate. These improvements potentially enable the algorithm to be suitable for future “grids and industrial premises load identification” systems. The algorithm builds on new principles: an electro-spectral features preprocessor, a faster waveform sampling sensor, a shorter required duration for the recorded data set, and the use of current waveforms vs. energy load profile, as was the case in previous NILM algorithms. Since the algorithm is intended for operation in any industrial premises or grid location, fast training is required. Known classification algorithms are comparatively trained using the proposed preprocessor over residential datasets, and in addition, the algorithm is compared to five known low-sampling NILM rate algorithms. The proposed spectral algorithm achieved 98% accuracy in terms of device identification over two international datasets, which is higher than the usual success of NILM algorithms.
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Chen, Ning, Jian Tao Du, Xi Xian Xie, and Qing Yang Xu. "Dynamic Models for L-Histidine Fed-Batch Fermentation by Corynebacterium glutamicum." Advanced Materials Research 160-162 (November 2010): 1749–55. http://dx.doi.org/10.4028/www.scientific.net/amr.160-162.1749.
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To predict and control feed batch fermentations of Corynebacterium glutamicun TQ2226 which can produce L-histidine , in this paper , we use a recurrent neural network model(RNNM).The control variables are the limiting substrate and the feeding conditions. The multi-input and multi-output RNNM proposed has seven outputs, nineteen neurons, twelve inputs, in the hidden layer, and global and local feedbacks. The weight update learning algorithm designed is a version of the well known backpropagation through time algorithm directed to the RNNM learning. The RNNM generalization was carried out reproducing a C. glutamicum fermentation not included in the learning process. It attains an error approximation of 1.8%.
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Kamalanathsharma, Raj Kishore, Hesham A. Rakha, and Hao Yang. "Networkwide Impacts of Vehicle Ecospeed Control in the Vicinity of Traffic Signalized Intersections." Transportation Research Record: Journal of the Transportation Research Board 2503, no. 1 (January 2015): 91–99. http://dx.doi.org/10.3141/2503-10.
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Ecospeed control is an advanced ecodriving or ecovehicle control algorithm that uses signal phasing and timing information from signalized intersections to generate fuel-optimum vehicle trajectories. The proposed algorithm uses connected vehicles technology to communicate between vehicles and the infrastructure. The research presented in this paper integrates the algorithm with state-of-the-art traffic simulation software, in this case the INTEGRATION software, to develop a tool capable of analyzing and evaluating systemwide impacts. The algorithm uses dynamic programming to generate fuel-efficient vehicle trajectories in the vicinity of traffic signalized intersections by controlling the vehicle variable limiting speed (VLS) to minimize fuel consumption while maintaining safe car-following behavior. Ecospeed control uses constraints upstream and downstream of the intersection to generate a longitudinal VLS function. Multiple simulations for levels of congestion (volume-to-capacity ratios) and levels of market penetration suggest that the average fuel savings per vehicle are in the range of 26% when all vehicles are equipped with such systems. Similarly, the average reduction in total delay reaches 65% within the vicinity of traffic signalized intersections. The results also demonstrate that at levels of market penetration less than 50%, the system does not produce systemwide fuel and delay savings. In addition, the savings are higher for lower levels of traffic congestion.
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Wang, Xueli. "Low-Energy Secure Routing Protocol for WSNs Based on Multiobjective Ant Colony Optimization Algorithm." Journal of Sensors 2021 (October 22, 2021): 1–9. http://dx.doi.org/10.1155/2021/7633054.
Повний текст джерелаАнотація:
As one of the three pillars of information technology, wireless sensor networks (WSNs) have been widely used in environmental detection, healthcare, military surveillance, industrial data sampling, and many other fields due to their unparalleled advantages in deployment cost, network power consumption, and versatility. The advent of the 5G standard and the era of Industry 4.0 have brought new opportunities for the development of wireless sensor networks. However, due to the limited power capacity of the sensor nodes themselves, the harsh deployment environment will bring a great difficulty to the energy replenishment of the sensor nodes, so the energy limitation problem has become a major factor limiting its further development; how to improve the energy utilization efficiency of WSNs has become an urgent problem in the scientific and industrial communities. Based on this, this paper researches the routing technology of wireless sensor networks, from the perspective of improving network security, and reducing network energy consumption, based on the study of ant colony optimization algorithm, further studies the node trust evaluation mechanism, and carries out the following research work: (1) study the energy consumption model of wireless sensor networks; (2) basic ant colony algorithm improvement; (3) multiobjective ant colony algorithm based on wireless sensor routing algorithm optimization. In this study, the NS2 network simulator is used as a simulation tool to verify the performance of the research algorithm. Compared with existing routing algorithms, the simulation results show that the multiobjective ant colony optimization algorithm has better performance in evaluation indexes such as life cycle, node energy consumption, node survival time, and stability compared with the traditional algorithm and the dual cluster head ant colony optimization algorithm.
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Sałabun, Wojciech, Jakub Więckowski, Andrii Shekhovtsov, Krzysztof Palczewski, Sławomir Jaszczak, and Jarosław Wątróbski. "How to Apply Fuzzy MISO PID in the Industry? An Empirical Study Case on Simulation of Crane Relocating Containers." Electronics 9, no. 12 (November 29, 2020): 2017. http://dx.doi.org/10.3390/electronics9122017.
Повний текст джерелаАнотація:
The proportional-integral-derivative (PID) algorithm automatically adjusts the control output based on the difference between a set point and a measured process variable. The classical approach is broadly used in the majority of control systems. However, in complex problems, this approach is not efficient, especially when the exact mathematical formula is difficult to specify. Besides, it was already proven that highly nonlinear situations are also significantly limiting the usage of the PID algorithm, in contrast to the fuzzy algorithms, which often work correctly under such conditions. In the case of multidimensional objects, where many independently operating PID algorithms are currently used, it is worth considering the use of one fuzzy algorithm with many-input single-output (MISO) or many-input many-output (MIMO) structure. In this work, a MISO type chip is investigated in the study case on simulation of crane relocating container with the external distribution. It is an example of control objects that due to badly conditioned dynamic features (strong non-linearities) require the operator’s intervention in manual or semi-automatic mode. The possibility of fuzzy algorithm synthesis is analyzed with two linguistic variable inputs (distance from −100 to 500 mm and angle from −45° to 45°). The output signal is the speed which is modelled as a linguistic power variable (in the domain from −100% to 100%). Based on 36 fuzzy rules, we present the main contribution, the control system with external disturbance, to show the effectiveness of the identified fuzzy PID approach with different gain values. The fuzzy control system and PID control are implemented and compared concerning the time taken for the container to reach the set point. The results show that fuzzy MISO PID is more effective than the classical one because fuzzy set theory helps to deal with the environmental uncertainty. The container’s angle deviations are taken into consideration, as mitigating them and simultaneously maintaining the fastest speed possible is an essential factor of this challenge.
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Pillai, Branesh M., Chumpon Wilasrusmee, and Jackrit Suthakorn. "Observer based dynamic control model for bilaterally controlled MU-lapa robot: Surgical tool force limiting." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 1 (February 1, 2020): 828. http://dx.doi.org/10.11591/ijece.v10i1.pp828-839.
Повний текст джерелаАнотація:
During laparoscopic surgeries, primary surgical tool insertion is the demanding and strenuous task. As the surgeon is unaware of the type of the tissue and associated parameters to conduct the insertion, therefore, to ease the procedure, the movement of the surgical tool needs to be controlled. It’s the operational capabilities that are to be manipulated to perform a smooth surgery even from a distant location. In this study, a robot system is being introduced for laparoscopic primary surgical tool insertion. It will incorporate a novel observer based dynamic control along with robot assisted bilateral control. Moreover, a virtual spring damper force lock system is introduced through which the slave system will notify the master regarding the target achieved and excessive force. The validation of the proposed control system is experimented with bilaterally controlled MU-LapaRobot. The experiment is comprising 3 cases of bilateral control criteria which are non-contact motion, contact motion, and limit force locking. The results defined the same value for contact and non-contact motion by 0.3N. The results depicted a force error of 3.6% and a position error of 5.8% which validated the proposed algorithm.
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Gu, Zhenghua, Wenqing Wan, Jundong Xie, and Chang Wu. "Dependency Graph-based High-level Synthesis for Maximum Instruction Parallelism." ACM Transactions on Reconfigurable Technology and Systems 14, no. 4 (December 31, 2021): 1–15. http://dx.doi.org/10.1145/3468875.
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Performance optimization is an important goal for High-level Synthesis (HLS). Existing HLS scheduling algorithms are all based on Control and Data Flow Graph (CDFG) and will schedule basic blocks in sequential order. Our study shows that the sequential scheduling order of basic blocks is a big limiting factor for achievable circuit performance. In this article, we propose a Dependency Graph (DG) with two important properties for scheduling. First, DG is a directed acyclic graph. Thus, no loop breaking heuristic is needed for scheduling. Second, DG can be used to identify the exact instruction parallelism. Our experiment shows that DG can lead to 76% instruction parallelism increase over CDFG. Based on DG, we propose a bottom-up scheduling algorithm to achieve much higher instruction parallelism than existing algorithms. Hierarchical state transition graph with guard conditions is proposed for efficient implementation of such high parallelism scheduling. Our experimental results show that our DG-based HLS algorithm can outperform the CDFG-based LegUp and the state-of-the-art industrial tool Vivado HLS by 2.88× and 1.29× on circuit latency, respectively.
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Cao, Wei, Jing Sun, Hu Su, and Dao Pei Yang. "The Design and Research of Three-Phase Inverter Dual-Loop Control." Applied Mechanics and Materials 672-674 (October 2014): 961–67. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.961.
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A dual-loop (inner current loop and outer voltage loop) control scheme for micro electric source inverters in microgrid is improved in this paper. In order to make dual-loop control analysis more accurate, LC filter, SVPWM module equivalent are included in the inverter supplied system model. Based on the fully decoupled dq axis model,the PI controller are used in both inner current loop and outer voltage loop. The inner current loop is designed with engineering algorithm and the outer voltage loop with bode diagram and step response. The simulation results show the validity of the designed control in that the proposed design methodology not only enhances steady state performance of the system, improves the voltage quality but also enables the current limiting.
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Chen, Qihong, Rong Long, Shuhai Quan, and Liyan Zhang. "Nonlinear Recurrent Neural Network Predictive Control for Energy Distribution of a Fuel Cell Powered Robot." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/509729.
Повний текст джерелаАнотація:
This paper presents a neural network predictive control strategy to optimize power distribution for a fuel cell/ultracapacitor hybrid power system of a robot. We model the nonlinear power system by employing time variant auto-regressive moving average with exogenous (ARMAX), and using recurrent neural network to represent the complicated coefficients of the ARMAX model. Because the dynamic of the system is viewed as operating- state- dependent time varying local linear behavior in this frame, a linear constrained model predictive control algorithm is developed to optimize the power splitting between the fuel cell and ultracapacitor. The proposed algorithm significantly simplifies implementation of the controller and can handle multiple constraints, such as limiting substantial fluctuation of fuel cell current. Experiment and simulation results demonstrate that the control strategy can optimally split power between the fuel cell and ultracapacitor, limit the change rate of the fuel cell current, and so as to extend the lifetime of the fuel cell.
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Hasheminejad, Seyyed M., and Vahid Rabbani. "Active Transient Sound Radiation Control from a Smart Piezocomposite Hollow Cylinder." Archives of Acoustics 40, no. 3 (September 1, 2015): 359–81. http://dx.doi.org/10.1515/aoa-2015-0039.
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Abstract The linear 3D piezoelasticity theory along with active damping control (ADC) strategy are applied for non-stationary vibroacoustic response suppression of a doubly fluid-loaded functionally graded piezolaminated (FGPM) composite hollow cylinder of infinite length under general time-varying excitations. The control gain parameters are identified and tuned using Genetic Algorithm (GA) with a multi-objective performance index that constrains the key elasto-acoustic system parameters and control voltage. The uncontrolled and controlled time response histories due to a pair of equal and opposite impulsive external point loads are calculated by means of Durbin’s numerical inverse Laplace transform algorithm. Numerical simulations demonstrate the superior (good) performance of the GA-optimized distributed active damping control system in effective attenuation of sound pressure transients radiated into the internal (external) acoustic space for two basic control configurations. Also, some interesting features of the transient fluid-structure interaction control problem are illustrated via proper 2D time domain images and animations of the 3D sound field. Limiting cases are considered and accuracy of the formulation is established with the aid of a commercial finite element package as well as comparisons with the current literature.
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Ani, Vincent Anayochukwu. "Optimal Operational Strategy for PV/Wind-Diesel Hybrid Power Generation System with Energy Storage." International Journal of Energy Optimization and Engineering 3, no. 1 (January 2014): 101–20. http://dx.doi.org/10.4018/ijeoe.2014010107.
Повний текст джерелаАнотація:
Telecommunications industry requires efficient, reliable and cost-effective hybrid power system as alternative to the power supplied by diesel generator. This paper proposed an operational control algorithm that will be used to control and supervise the operations of PV/Wind-Diesel hybrid power generation system for GSM base station sites. The control algorithm was developed in such a way that it coordinates when power should be generated by renewable energy (PV panels and Wind turbine) and when it should be generated by diesel generator and is intended to maximize the use of renewable system while limiting the use of diesel generator. Diesel generator is allocated only when the demand cannot be met by the renewable energy sources including battery bank. The developed algorithm was used to study the operations of the hybrid PV/Wind-Diesel energy system. The control simulation shows that the developed algorithm reduces the operational hours of the diesel generator thereby reducing the running cost of the hybrid energy system as well as the pollutant emissions. With the data collected from the site, a detailed economic and environmental analysis was carried out using micro power optimization software homer. The study evaluates savings associated with conversion of the diesel powered system to a PV/Wind-Diesel hybrid power system.
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Xin, Bo, Yuan Li, Jianfeng Yu, and Jie Zhang. "An adaptive BPSO algorithm for multi-skilled workers assignment problem in aircraft assembly lines." Assembly Automation 35, no. 4 (September 7, 2015): 317–28. http://dx.doi.org/10.1108/aa-06-2015-051.
Повний текст джерелаАнотація:
Purpose – The purpose of this paper is to investigate the multi-skilled workers assignment problem in complex assembly systems such as aircraft assembly lines. An adaptive binary particle swarm optimization (A-BPSO) algorithm is proposed, which is used to balance the workload of both assembly stations and processes and to minimize the human cost. Design/methodology/approach – Firstly, a cycle time model considering the cooperation of multi-skilled workers is constructed. This model provides a quantitative description of the relationship between the cycle time and multi-skilled workers by means of revising the standard learning curve with the “Partition-And-Accumulate” method. Then, to improve the accuracy and stability of the current heuristic algorithms, an A-BPSO algorithm that suits for the discrete optimization problems is proposed to assign multi-skilled workers to assembly stations and processes based on modified sigmoid limiting function. Findings – The proposed method has been successfully applied to a practical case, and the result justifies its advantage as well as adaptability to both theory and engineering application. Originality/value – A novel cycle time model considering cooperation of multi-skilled workers is constructed so that the calculation results of cycle time are more accurate and closer to reality. An A-BPSO algorithm is proposed to improve the stability and convergence in dealing with the problems with higher dimensional search space. This research can be used by the project managers and dispatchers on assembly field.
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Mihailović, Marija, and Karlo Raić. "Algorithm for quantifying the particle size distribution of non-metallic inclusions formation in steel production." Metallurgical and Materials Engineering 27, no. 4 (December 25, 2021): 437–47. http://dx.doi.org/10.30544/776.
Повний текст джерелаАнотація:
When the quantitative characterization of non-metallic inclusions in steel is done and the effect of limiting factors is assessed, and based on that the possibility of reconstruction of the total content of non-metallic inclusions in steel is estimated, further considerations can be directed towards predicting the model of size distribution curve. The aim of this work is to establish relations on the basis of which it will be possible to quantify the content of non-metallic inclusions in extra-pure steels, when metallographic control is difficult or even impossible by routine procedures.
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Masri, S. F., R. K. Miller, T. J. Dehghanyar, and T. K. Caughey. "Active Parameter Control of Nonlinear Vibrating Structures." Journal of Applied Mechanics 56, no. 3 (September 1, 1989): 658–66. http://dx.doi.org/10.1115/1.3176143.
Повний текст джерелаАнотація:
A simple, yet efficient method is presented for the on-line vibration control of nonlinear, multidegree-of-freedom systems responding to arbitrary dynamic environments. The procedure uses nonlinear auxiliary mass dampers with adjustable motion-limiting stops located at selected positions throughout a given nonlinear system. A mathematical model of the system to be controlled is not needed for implementing the control algorithm. The degree of the primary structure oscillation near each vibration damper determines the damper’s actively-controlled gap size and activation time. By using control energy to adjust the damper parameters instead of directly attenuating the motion of the primary system, a significant improvement is achieved in the total amount of energy expended to accomplish a given level of vibration control. In a related paper, the direct method of Lyapunov is used to establish that the response of the controlled nonlinear primary structure is Lagrange stable. Numerical simulation studies of several example systems, as well as an experimental study with a mechanical model, demonstrate the feasibility, reliability, and robustness of the proposed semi-active control method.
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Rohten, Jaime A., Javier E. Muñoz, Esteban S. Pulido, José J. Silva, Felipe A. Villarroel, and José R. Espinoza. "Very Low Sampling Frequency Model Predictive Control for Power Converters in the Medium and High-Power Range Applications." Energies 14, no. 1 (January 2, 2021): 199. http://dx.doi.org/10.3390/en14010199.
Повний текст джерелаАнотація:
Several control strategies have been proposed with the aim to get a desired behavior in the power converter variables. The most employed control techniques are linear control, nonlinear control based on linear and nonlinear feedback, and predictive control. The controllers associated with linear and nonlinear algorithms usually have a fixed switching frequency, featuring a defined spectrum given by the pulse width modulation (PWM) or space vector modulation (SVM) time period. On the other hand, finite set model predictive control (FS-MPC) is known to present a variable switching frequency that results too high for high power applications, increasing losses, reducing the switches lifetime and, therefore, limiting its application. This paper proposes a predictive control approach using a very low sampling frequency, allowing the use of predictive control in high power applications. The proposed method is straightforward to understand, is simple to implement, and can be computed with off-the-shelf digital systems. The main advantage of the proposed control algorithm comes from the combination of the model predictive control and the SVM technique, drawing the principal benefits of both methods. The provided experimental results are satisfactory, displaying the nature of space vector-based schemes but at the same time the fast response as expected in predictive control.
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Petrov, Ivan S. "Algorithm for Reducing the Number of Forwarding Rules Created by SDN Applications." Modeling and Analysis of Information Systems 26, no. 1 (March 15, 2019): 122–33. http://dx.doi.org/10.18255/1818-1015-2019-1-122-133.
Повний текст джерелаАнотація:
Software-Defined Networking (SDN) is a network architecture that introduces a physical separation of data-plane from control-plane. It implements a new way of analyzing network statistics through counters installed on forwarding rules. These counters measure the number of packets processed by these rules and represent per-flow network statistics. In order to get information about the number of packets from different flows SDN applications can install additional forwarding rules, sole purpose of which is to count packets with specific headers. But in order to produce a full network statistics analysis these applications may install a large amount of forwarding rules thus limiting the space in the forwarding table for other applications. So we need algorithms to minimize the number of such rules. In this paper, we consider the problem of minimizing the number of forwarding rules installed on SDN switches by applications that analyze network statistics. We introduce a heuristic algorithm that creates a reduced representation for sets of rules installed in the network. The experimental results show that this algorithm reduces the number of rules by at least 2.2 times on uniformly distributed random input.
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Kornyushin, Yu P., D. A. Akimenko, and P. Yu Kornyushin. "SYNTHESIS OF CONTROLLERS FOR NONLINEAR CONTROL OBJECTS ON BASIS OF NUMERICAL METHODS FOR SOLVING DIFFERENTIAL EQUATIONS." Issues of radio electronics, no. 11 (November 20, 2018): 67–72. http://dx.doi.org/10.21778/2218-5453-2018-11-67-72.
Повний текст джерелаАнотація:
The algorithm of parametric synthesis of regulators for nonlinear control objects is presented in the article, in which knowledge of the real trajectory of the system motion is not required in an explicit form. The essence of the algorithm is as follows: the dynamic properties of the control system are always determined by the right-hand side of the system of differential equations written in the normal form of Cauchy. Depending on the values of the regulator parameters that are also included in the right-hand side, the system of equations may have one or another solution. If we substitute the reference trajectory into the scheme of numerical integration of differential equations describing the dynamics of the system, then at each step of integration it can be considered as a system of algebraic equations for the desired parameters of the regulator. For each discrete value of the reference signal, there is a set of desired regulator parameters from which the desired values are determined, for example, as weighted averages over the entire study interval, or, as some limiting values. In the proposed algorithm, in an implicit form, the criterion of optimality is the norm in the space of convergent numerical sequences.