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Compensation of valve deadzone using mixed integer predictive control

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dc.title Compensation of valve deadzone using mixed integer predictive control en
dc.contributor.author Novák, Jakub
dc.contributor.author Chalupa, Petr
dc.relation.ispartof Proceedings - 31st European Conference on Modelling and Simulation, ECMS 2017
dc.identifier.isbn 9780993244049
dc.date.issued 2017
dc.citation.spage 379
dc.citation.epage 383
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 10.7148/2017-0379
dc.relation.uri http://www.scs-europe.net/dlib/2017/2017-0379.htm
dc.relation.uri http://www.scs-europe.net/dlib/2017/ecms2017acceptedpapers/0379-mct_ECMS2017_0048.pdf
dc.subject Predictive control en
dc.subject Mixed-integer quadratic programming en
dc.subject Valve deadzone en
dc.subject Hybrid system en
dc.description.abstract Stiction is a nonlinear friction phenomenon that causes poor performance of control loops in the process industries. In this work, we develop a mixed-integer MPC (Model Predictive Control) formulation including valve dynamics for a sticky valve in order to improve control loop performance. The introduction of the valve nonlinearity into the model prevents the MPC from requesting physically unrealistic control actions due to valve stiction. Simulation studies using a two-tank systems show that, if the deadband value is known apriori, the Mixed-Integer Quadratic Programming (MIQP) can effectively improve the closed-loop performance in the presence of valve stiction. © 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/10563/1007253
utb.identifier.obdid 43877391
utb.identifier.scopus 2-s2.0-85021827842
utb.identifier.wok 000404420000057
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, Youth and Sports of the Czech Republic within the National Sustainability Programme [LO1303, MSMT-7778/2014]
utb.ou CEBIA-Tech
utb.contributor.internalauthor Novák, Jakub
utb.contributor.internalauthor Chalupa, Petr
utb.fulltext.affiliation Jakub Novak and Petr Chalupa Tomas Bata University, Faculty of Applied Informatics Centre for Security, Information and Advanced Technologies nam. TGM 5555, Zlín 76001, Czech Republic E-mail: jnovak@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.references Bacci di Capaci, R.; Scali, C.; and B. Huang. 2016. “A revised technique of stiction compensation for control valves”. In Proceedings of the 11th IFAC DYCOPS, (Trondheim, Norway) 1038–1043. Bemporad, A. and M. Morari. 1999. “Control of systems integrating logic, dynamics, and constraints”. Automatica, Vol. 35, 407-427. Bemporad, A. and M. Morari. 1998. “Predictive control of constrained hybrid systems”. In Proceedings of Int. Symposium on Nonlinear Model Predictive Control, (Ascona, Switzerland), 108-127. Borrelli, F.; A. Bemporad; M. Fodor; D. Hrovat, 2006. “An MPC/hybrid system approach to traction control”, IEEE Transactions on Control Systems Technology 14, 541-552. Chalupa, P. and J. Novak. 2013. “Modeling and Model Predictive Control of Nonlinear Hydraulic System”. Computers & Mathematics with Applications ,66(2), 155–164. Di Ruscio, D. 2013. “Model Predictive Control with Integral Action: A simple MPC algorithm”. Modeling, Identification and Control, Vol. 34, No. 3, 119-129. Durand, H. and P. Christofides, 2016. “Actuator stiction compensation via model predictive control for nonlinear processes”. AIChE Journal, Vol. 62, 2004–2023. Novak, J. and P. Chalupa. 2015. “Implementation of Mixedinteger Programming on Embedded System”. Procedia Engineering, Vol. 100, 1649-1656. Rodríguez, M. and W. Heath. 2012. “MPC for plants subject to saturation and deadzone, backlash or stiction”. In Proceedings of the 4th IFAC Nonlinear Model Predictive Control Conference (Noordwijkerhout, The Netherlands). 418–423. Zabiri, H., and Y. Samyudia. 2006. “A hybrid formulation and design of model predictive control for systems under actuator saturation and backlash”. Journal of Procces Control, Vol 16, 693-709.
utb.fulltext.sponsorship This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme project No. LO1303 (MSMT-7778/2014).
utb.scopus.affiliation Tomas Bata University, Faculty of Applied Informatics, Centre for Security Information and Advanced Technologies, nam. TGM 5555, Zlín, Czech Republic
utb.fulltext.projects LO1303
utb.fulltext.projects MSMT-7778/2014
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