Academic literature on the topic 'Matlab COM automation'
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Journal articles on the topic "Matlab COM automation"
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Ali, Mohammad Abdo Hashem, Musa Mailah, Howe Hing Tang, and Mohd Akmal A. Rahim. "Autonomous Mobile Robot Platform for On-the-Road Navigation." Advanced Materials Research 845 (December 2013): 750–54. http://dx.doi.org/10.4028/www.scientific.net/amr.845.750.
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This paper presents a mechatronic development of a new mobile robot platform for autonomous on-the-road navigation. It uses sensor fusion involving the camera, laser range finder (LRF) and odometry to guide and find the free collision path during navigation. The embedded controller system has been deliberately developed to integrate the mechanical parts with the electronics and software algorithms. Microsoft Visual C# and MATLAB are linked together to perform the road recognition calculation via the proposed algorithms. The main processing program in C# is later extended to MATLAB environment for image, signal processing and calculation based on data from the LRF and camera. The linking between C# and MATLAB is done using COM automation server and the data in the client C# program passes it to MATLAB and vice versa.
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Xu, Jiu Nan, Zhi Xin Hu, and Ling Xiao Weng. "Mechanical Cutting Process of Cutting Robot Based on CAD/CAM Integrated System." Applied Mechanics and Materials 716-717 (December 2014): 1666–70. http://dx.doi.org/10.4028/www.scientific.net/amm.716-717.1666.
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Control problem of mechanical cutting is a development bottleneck of processing technology of robot. As compared to the simple mechanical process, the control process of automatic processing trajectory for cutting robot is relatively complex. This paper uses the CAD/CAM integrated control system to control the robot cutting process, which realizes the integration design of robot machining process. The extraction of G code is through the VC program, and then it uses MATLAB to do data analysis, which completes the design of process parameter for cutting path. Finally we use ADAMS simulation to forecaster the process parameters and machining process, through the analysis of the data it improves the machining accuracy. And it provides a theoretical reference for the research on mechanical automation process.
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Bojja, Polaiah, and N. Merrin Prasanna. "Development of Mathematical Model of Rotary Kiln which are used for Design Conventional Control Systems." International Journal of Engineering & Technology 7, no. 3.12 (July 20, 2018): 1182. http://dx.doi.org/10.14419/ijet.v7i3.12.17783.
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The main aim of the work is used to develop the mathematical model which are used to design conventional control system for the real time cement plant to control several variables of a cement rotary kiln in the plant. A cement rotary kiln is a non linear distributed process which has a highly complex dynamic behavior due to chemical reaction, development of a system to understand the behavior of a kiln process as mathematical model based on control scheme for cement rotary kiln processes. However , the variables are back-end temperature,pre heater temperature, oxygen content and CO2 gas content of the kiln are used to develop the model of the processes by the most use of Automation. The proposed controller uses a PI controller and PID controller. Finally the designed of Controller scheme for cement rotary kiln process of results are car- ried out by MATLAB software for evaluation of the performance kiln process.
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Litsin, K. V., and D. M. Utyamishev. "Sensorless electric drive of the mixture supply system in the mold of the continuous steel casting installation." Chernye Metally, March 31, 2021, 16–21. http://dx.doi.org/10.17580/chm.2021.03.03.
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The system of automatic feeding of the slag-forming mixture into the mold of the continuous casting machine was investigated in this article. The necessity of using a slag-forming mixture in the process of steel production has been substantiated. The proofs are given that the consumption of the slag-forming mixture significantly affects the cost of the final product. The quality level of the final product depends on the uniformity and consistency of the mixture supply to the crystallizer. Therefore, the actual direction is the automation of the process of feeding the slag-forming mixture into the mold of the continuous casting machine. The description of the developed automatic installation, which implements the supply of slag-forming mixture, is presented. The necessity of using a sensorless electric drive for moving the trolley has been substantiated. A simulation model of a bogie electric drive with a vector control system based on sensorless determination of the angular speed of the engine has been developed. The description of the method for determining the angular speed of the motor based on the known values of phase voltages is given. The simulation of the developed electric drive system in the Matlab Simulink program, confirming the adequacy of the developed system. The introduction of a sensorless electric drive into the system for feeding the mixture into the mold of the continuous casting machine will increase the reliability of the entire system and reduce its weight and dimensions.
Dissertations / Theses on the topic "Matlab COM automation"
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Bergami, Luca. "Analisi e ottimizzazione del gruppo di alimentazione e taglio della carta in una macchina incartatrice ad alta velocità." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.
Find full textAbstract:
L'elaborato si propone di analizzare e ottimizzare il sistema di alimentazione e taglio del materiale da incarto di una macchina incartatrice ad elevata velocità produttiva. Tale macchina si occupa dell'incartamento di dadi da brodo pressati. Gli obiettivi sono quelli di aumentare la qualità del prodotto finale e di incrementare la produttività della macchina. In primo luogo si analizzano le diverse tecniche di rilevazione del diametro bobina di materiale da incarto, al fine di individuarne le migliori. Inoltre si studia la funzione di controllo di tensione del nastro in svolgimento. In seguito viene studiato il sistema di giunzione automatica, necessario per svolgere il processo di cambio bobina senza l'arresto della produzione. La successiva trattazione di modelli cinematici e dinamici rappresentativi del meccanismo di movimentazione del gruppo permettono di valutare le conseguenze dovute ad un aumento di produttività della linea. Viene poi approfondito il sistema ballerino, la cui funzione è quella di garantire il tempo necessario per effettuare la giunzione delle due bobine. Si analizzano tutte le sue funzionalità, definendo un modello matematico che ne descriva i comportamenti cinematici e dinamici, funzionale per verificare il corretto dimensionamento della molla che ne governa la movimentazione. L'obiettivo è quello di aumentarne il tempo di buffer: si sono progettate così due nuove soluzioni di ballerino, studiandone le differenze prestazionali rispetto al ballerino attuale. Infine, per ottenere una migliore qualità del prodotto finale è necessario risolvere alcune problematiche legate alla zona di accoppiamento tra materiale di incarto e dado. Si è sviluppata un'analisi fluidodinamica al fine di studiare il campo di moto dell’aria generato da soffi introdotti per l'accompagnamento del nastro. I risultati dell'analisi hanno permesso di effettuare una riprogettazione dei condotti di alimentazione dei soffi d'aria al fine di ridurre le oscillazioni del nastro.
Books on the topic "Matlab COM automation"
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CAD for control systems. New York: M. Dekker, 1993.
Find full textConference papers on the topic "Matlab COM automation"
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Cao, Hongwang, and Jie Luo. "Research on VISSIM-MATLAB Integrated Traffic Simulation Platform Based on COM Interface Technology." In 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE, 2019. http://dx.doi.org/10.1109/itnec.2019.8729156.
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Almajid, Muhammad Majid, Zuhair A. AlYousef, and Othman S. Swaie. "Local Equilibrium Mechanistic Simulation of CO2-Foam Flooding." In SPE Reservoir Simulation Conference. SPE, 2021. http://dx.doi.org/10.2118/203922-ms.
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Abstract Mechanistic modeling of the non-Newtonian CO2-foam flow in porous media is a challenging task that is computationally expensive due to abrupt gas mobility changes. The objective of this paper is to present a local equilibrium (LE) CO2-foam mechanistic model, which could alleviate some of the computational cost, and its implementation in the Matlab Reservoir Simulation Tool (MRST). Interweaving the LE-foam model into MRST enables users quick prototyping and testing of new ideas and/or mechanistic expressions. We use MRST, the open source tool available from SINTEF, to implement our LE-foam model. The model utilizes MRST automatic differentiation capability to compute the fluxes as well as the saturations of the aqueous and the gaseous phases at each Newton iteration. These computed variables and fluxes are then fed into the LE-foam model that estimates the bubble density (number of bubbles per unit volume of gas) in each grid block. Finally, the estimated bubble density at each grid block is used to readjust the gaseous phase mobility until convergence is achieved. Unlike the full-physics model, the LE-foam model does not add a population balance equation for the flowing bubbles. The developed LE-foam model, therefore, does not add much computational cost to solving a black oil system of equations as it uses the information from each Newton iteration to adjust the gas mobility. Our model is able to match experimental transient foam flooding results from the literature. The chosen flowing foam fraction (Xf) formula dictates to a large extent the behavior of the solution. An appropriate formula for Xf needs to be chosen such that our simulations are more predictive. The work described in this paper could help in prototyping various ideas about generation and coalescence of bubbles as well as any other correlations used in any population balance model. The chosen model can then be used to predict foam flow and estimate economic value of any foam pilot project.
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Andersen, O., M. Kelley, V. Smith, and S. Raziperchikolaee. "Automatic Calibration of a Geomechanical Model from Sparse Data for Estimating Stress in Deep Geological Formations." In SPE Reservoir Simulation Conference. SPE, 2021. http://dx.doi.org/10.2118/204006-ms.
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Summary In this study, we demonstrate geomechanical modeling with fully automatic parameter calibration to estimate the full geomechanical stress fields of a prospective US CO2 storage site, based on sparse measurement data. The goal is to compute full stress tensor field estimates (principal stresses and orientations) that are maximally compatible with observations within the constraints of the model assumptions, thereby extending point-wise, incomplete partial stress measurement to a simulated full formation stress field, as well as a rough assessment of the associated error. We use the Perch site, located in Otsego Country, Michigan, as our case study. Input data consists of partial stress tensor information inferred from in-situ borehole tests, geophysical well logs and processing of seismic data. A static earth model of the site was developed, and geomechanical simulation functionality of the open-source MATLAB Reservoir Simulation Toolbox (MRST) used to model the stress field. Adjoint-based nonlinear optimization was used to adjust boundary conditions and material properties to calibrate simulated results to observations. Results were interpreted through a Bayesian framework. The focus of this article is to demonstrate how the fully automatic calibration procedure works and discuss the results obtained but does not attempt a detailed analysis of the stress field in the context of the proposed CO2 storage initiatives. Our work is part of a larger effort to non-invasively determine in-situ stresses in deep formations considered for CO2 storage. Guided by previously published research on geomechanical model calibration, our work presents a novel calibration approach supporting a potentially large number of linear or nonlinear calibration parameters, in order to produce results optimally agreeing with available measurements and thus extend partial point-wise estimates to full tensor fields compatible with the physics of the site.
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Jenkins, Ryan P., and Monika Ivantysynova. "Investigation of Instability of a Pressure Compensated Vane Pump." In 9th FPNI Ph.D. Symposium on Fluid Power. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/fpni2016-1535.
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Currently, fixed displacement pumps are typically used to provide the oil flow required for actuation of the clutches, cooling, and lubrication of automatic transmissions. This results in significant power losses as excess flow at higher engine speeds is throttled through orifices back to the tank. Therefore, the use of variable displacement pumps to supply the required oil flow can reduce the overall fuel consumption of the vehicle by eliminating this excess flow at high engine speeds. This paper presents the development and experimental validation setup of a model for a pressure compensated pivoting-cam-type variable displacement vane pump (VDVP) that is suitable for these applications. The pump operates at low system pressures (typically ∼5 bar with maximum 20 bar) with significant amounts of entrained air present in the working fluid (typically 3% by volume at the delivery) over a wide range of input speeds (700–6000 rpm). These conditions, along with a combination of a highly dynamic flow demand and dynamically changing pressure compensation setting, result in pump instabilities and loss of controllability. Previously, high leakage flow rates were introduced into the cam displacement control volume in an attempt to stabilize the pump with limited improvements. A high fidelity simulation model of the VDVP displacement chambers and cam displacement control volume pressure development was created in MATLAB/Simulink to accurately predict pump flow rates and cam dynamics in order to investigate these instabilities and methods for increasing the controllability of the VDVP. Additionally, the model provides a platform to assess the system sensitivity to changes in fluid/air mixture ratio, vane spacing, bias spring rate, and pump outlet pressure. A modified pump that was instrumented to measure the pressure gradients within each displacement chamber at the transitions between the suction and delivery ports under realistic operating conditions is presented. The modified pump was also instrumented with a linear variable displacement transducer (LVDT) to directly measure cam position during pump operation on an experimental test bed incorporating actual control valves found in an automatic transmission.
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Wang, Yunlai, and Xi Wang. "Fast Model Predictive Control for Aircraft Engine Based on Automatic Differentiation." In ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-16161.
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Abstract Nonlinear model predictive control (NMPC) is a strategy suitable for dealing with highly complex, nonlinear, uncertain, and constrained dynamics involved in aircraft engine control problems. Because of the complexity of the algorithm and the real-time performance of the predictive model, it has thus far been infeasible to implement model predictive control in the realtime control system of aircraft engine. In most nonlinear model predictive control, nonlinear interior point methods (IPM) are used to calculate the optimal solution, which iterate to the optimal solution based on the Jacobian and Hessian matrix. Most nonlinear IPM solver, such as MATLAB fmincon and IPOPT, cannot calculate the Jacobian and Hessian matrix precisely and quickly, instead of using numerical differentiation to calculate the Jacobian matrix and BFGS method to approach to the Hessian matrix. From what has been discussed above, we will 1) improve the real-time performance of predictive model by replacing the time-consuming component level model (CLM) with a neural network model, which is trained based on the data of component level model, 2) precisely calculate the Jacobian and Hessian matrix using automatic differentiation, and propose a group of algorithms to make NMPC strategy quicker, which include making use of the structure of predictive model, and the integrity of weighted sums of Hessian matrix in IPM. Finally, considering input and output constraints, the fast NMPC strategy is compared with normal NMPC. Simulation results with mean time of 19.3% – 27.9% of normal NMPC on different platforms, verify that the fast NMPC proposed can improve the real-time performance during the process of acceleration, deceleration for aircraft engine.
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Safari, Amir, Vladimir Berezkin, and Mohsen Assadi. "An Integrated Simulation Tool Proposed for Modeling and Optimization of CCHP Units." In ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/gt2018-75193.
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A novel framework for operation optimization of a combined cooling, heating, and power (CCHP) system has been proposed. The goal of the study was to develop an automatic optimization tool based on the integration of IPSEpro simulation software and the MATLAB programming environment to strategically manage the operation of a hybrid energy system of micro gas turbine (MGT), auxiliary boiler, and absorption chiller. Data exchange between the tools was organized via a COM interface. An experimentally validated model of the commercial AE-T100 CCHP unit was utilized, the objective being to minimize a cost function of operational and capital investments costs, subject to a set of constraints. The micro CCHP plant was considered to be a part of a grid. Electricity trading was therefore taken into account. The performance of the developed framework was investigated through the optimization task, case study data for a 24-hour period in July and December, different electricity and gas price profiles and ambient conditions being used. The operation strategy could be heat-led or power-led. The optimum number and load of the CCHP units and the boilers and the amount of electricity which should be bought from and/or sold to the grid were therefore determined by the optimization strategies. Lastly, the results were analyzed and show that the integrated optimization tool developed provides a valuable contribution to the enhanced management of such a CCHP system, specifically when a large number of distributed units are considered. In other words, the proposed framework was flexible enough and has the potential to be extended and further developed to handle more complicated energy systems and operational conditions.
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Rodrigues, Filipe M. M., Francisco J. S. Reis, Mateus A. Veloso, João O. B. Diniz, Romuere R. Veloso, and Antonio O. C. Filho. "Metodologia automática para detecção de bacilos de tuberculose utilizando RetinaNet e modelos de cores." In Simpósio Brasileiro de Computação Aplicada à Saúde. Sociedade Brasileira de Computação - SBC, 2022. http://dx.doi.org/10.5753/sbcas.2022.222677.
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A tuberculose é a doença infecciosa bacteriana que mais mata no mundo, cerca de 1,5 milhão de pessoas morreram todos anos. A doença é causa pelo Mycobacterium tuberculosis, sendo a principal forma de diagnóstico a baciloscopia de escarro, exame no qual se analisa a expectoração do paciente através do microscópio em busca de bacilos, sendo essa uma técnica tanto para o diagnóstico como para acompanhamento da doença. Diante disso, este trabalho tem por objetivo desenvolver uma metodologia para detecção automatiza do bacilo usando a RetinaNet. Um conjunto de 1218 imagens foi usado para a avaliação deste método. Os resultados foram animadores, obtendo uma precisão de 64,9%, recall de 70,4% e um score F1 de 61%. Finalmente, acreditamos que nosso método possui a capacidade de atuar no diagnóstico da tuberculose.