Compensation of valve deadzone using mixed integer predictive control

Novák, Jakub; Chalupa, Petr

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	978-0-9932440-4-9
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