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dc.title | State-space predictive control of inverted pendulum model | en |
dc.contributor.author | Rušar, Lukáš | |
dc.contributor.author | Krhovják, Adam | |
dc.contributor.author | Talaš, Stanislav | |
dc.contributor.author | Bobál, Vladimír | |
dc.relation.ispartof | Proceedings - 31st European Conference on Modelling and Simulation, ECMS 2017 | |
dc.identifier.isbn | 978-0-9932440-4-9 | |
dc.date.issued | 2017 | |
dc.citation.spage | 384 | |
dc.citation.epage | 390 | |
dc.event.title | 31st European Conference on Modelling and Simulation, ECMS 2017 | |
dc.event.location | Budapest | |
utb.event.state-en | Hungary | |
utb.event.state-cs | Maďarsko | |
dc.event.sdate | 2017-05-23 | |
dc.event.edate | 2017-05-26 | |
dc.type | conferenceObject | |
dc.language.iso | en | |
dc.publisher | European Council for Modelling and Simulation | |
dc.identifier.doi | 10.7148/2017-0384 | |
dc.relation.uri | http://www.scs-europe.net/dlib/2017/2017-0384.htm | |
dc.relation.uri | http://www.scs-europe.net/dlib/2017/ecms2017acceptedpapers/0384-mct_ECMS2017_0050.pdf | |
dc.subject | predictive control | en |
dc.subject | state-space | en |
dc.subject | inverted pendulum | en |
dc.subject | predictor-corrector | en |
dc.description.abstract | This paper presents a possible way to control the a very fast nonlinear systems. The system of the inverted pendulum was chosen as an exemplar process. This is an example of the nonlinear single-input multi-output process with a sampling period in order of milliseconds. The state-space predictive control was chosen as a control method and the system is described by CARIMA model. The whole process of the controller design is described in this paper. That includes a description of the inverted pendulum nonlinear mathematical model and its linearization, the inference of the output values prediction and the control signal calculation. The control signal is calculated by predictor-corrector method. The results compare several optimization methods to achieve the fastest calculation of the control signal. All of the simulation was done in Matlab. © ECMS Zita Zoltay Paprika, Péter Horák, Kata Váradi,Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics (Editors). | en |
utb.faculty | Faculty of Applied Informatics | |
dc.identifier.uri | http://hdl.handle.net/10563/1007254 | |
utb.identifier.obdid | 43876783 | |
utb.identifier.scopus | 2-s2.0-85021814308 | |
utb.identifier.wok | 000404420000058 | |
utb.source | d-scopus | |
dc.date.accessioned | 2017-09-03T21:40:06Z | |
dc.date.available | 2017-09-03T21:40:06Z | |
dc.description.sponsorship | Ministry of Education of the Czech Republic under grant IGA [IGA/FAI/2016/009] | |
utb.contributor.internalauthor | Rušar, Lukáš | |
utb.contributor.internalauthor | Krhovják, Adam | |
utb.contributor.internalauthor | Talaš, Stanislav | |
utb.contributor.internalauthor | Bobál, Vladimír | |
utb.fulltext.affiliation | Lukáš Rušar, Adam Krhovják, Stanislav Talaš and Vladimír Bobál Department of process control Faculty of applied informatics, Tomas Bata university in Zlin Nad Stráněmi 4511, Zlin 76005, Czech Republic E-mail: [email protected] | |
utb.fulltext.dates | - | |
utb.fulltext.references | Albertos Pérez P. and Sala A. 2004. Multivariable Control Systems: an Engineering Approach. Springer. London. Amira. 2000. PS600 Laboratory Experiment Inverted Pendulum. Amira GmbH, Duisburg. Bars R.; R. Haber and U. Schmitz. 2011. Predictive control in process engineering: From the basics to the applications. Weinhaim: Willey-VCH Verlag. Bobál, V. 2008, Adaptive and predictive control. vol. 1. Zlin, Tomas Bata University in Zlin. Camacho E.F. and C. Bordons. 2004. Model predictive control, Springer Verlag, London. Chalupa P. and V. Bobál. 2008. "Modelling and Predictive Control of Inverted Pendulum". In: Proceedings 22nd European Conference on Modelling and Simulation. pp. 531-537. Fikar M. and J. Mikleš. 2008. Process modelling, optimisation and control, Springer-Verlag, Berlin. Hangos K.M.; Bokor J. and Szederkényi G. 2004. Analysis and Control of Nonlinear Process Systems. Springer. London. Maciejowski J.M. 2002. Predictive control with constraints, Prentice Hall, London. Nocedal J. and S. Wright. 2000. Numerical optimisation second edition. Springer, New York. Rossiter J.A. 2003. Model based predictive control: a practical approach, CRC Press. Wang L. 2009. Model predictive control system design and implementation using MATLAB, Springer Verlag, London. Wright S. 1997 Primal-dual interior point methods. Philadelphia: Society for Industrial and Applied Mathematics. | |
utb.fulltext.sponsorship | This article was created with support of the Ministry of Education of the Czech Republic under grant IGA reg. n. IGA/FAI/2016/009. | |
utb.scopus.affiliation | Department of Process Control, Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stráněmi 4511, Zlin, Czech Republic | |
utb.fulltext.projects | IGA/FAI/2016/009 |