Simple decentralized autonomous adaptive nonlinear real-time controller with controller source code optimization: Case study

Perůtka, Karel; Dostálek, Petr

dc.title	Simple decentralized autonomous adaptive nonlinear real-time controller with controller source code optimization: Case study	en
dc.contributor.author	Perůtka, Karel
dc.contributor.author	Dostálek, Petr
dc.relation.ispartof	ISADS 2009: 2009 International Symposium on Autonomous Decentralized Systems, Proceedings
dc.identifier.isbn	978-1-4244-4327-7
dc.date.issued	2009
dc.citation.spage	87
dc.citation.epage	92
dc.event.title	9th International Symposium on Autonomous Decentralized Systems
dc.event.location	Athens
utb.event.state-en	Greece
utb.event.state-cs	Řecko
dc.event.sdate	2009-03-23
dc.event.edate	2009-03-25
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	The Institute of Electrical and Electronics Engineers (IEEE)	en
dc.identifier.doi	10.1109/ISADS.2009.5207337
dc.relation.uri	http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5207337&tag=1
dc.subject	autonomous control	en
dc.subject	decentralized control	en
dc.subject	MATLAB	en
dc.subject	nonlinear control	en
dc.subject	real-time control	en
dc.description.abstract	The paper deals with the combination of several approaches of the feedback control applied on the laboratory apparatus in real-time. Each of these approaches is generally known, but their consolidated implementation into one control algorithm is new. The control program was written in MATLAB with Real-time toolbox and realized in PC with the technological card connected to the laboratory apparatus. Due to the fact the control system has multiple inputs and multiple outputs the decentralized autonomous controller was used. Many systems are biased in practice therefore the self-tuning control strategy was added into the used control algorithm. Furthermore, the method of simple nonlinear controller enlarges the area of usage of the used approach. It is common that the controlled process is needed to be controlled in real-time in practice. In that purpose, the Real-time toolbox was used. Finally, the not so commonly used techniques of time optimization of source code in MATLAB was used to run the program faster, such as cycle masking, or minimization of commands in the main cycle.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1001819
utb.identifier.rivid	RIV/70883521:28140/09:63507973!RIV10-MSM-28140___
utb.identifier.obdid	43861051
utb.identifier.scopus	2-s2.0-70449638428
utb.identifier.wok	000273167000013
utb.source	d-wok
dc.date.accessioned	2011-08-09T07:34:01Z
dc.date.available	2011-08-09T07:34:01Z
utb.contributor.internalauthor	Perůtka, Karel
utb.contributor.internalauthor	Dostálek, Petr
utb.fulltext.affiliation	Karel Perutka Faculty ofApplied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, Zlin, CZ-76001, European Union, tel:+420 576035202, e-mail: kperutka@fai.utb.cz Petr Dostalek Faculty ofApplied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, Zlin, CZ-76001, European Union, tel:+420 576035261, e-mail: dostalek@fai.utb.cz
utb.fulltext.dates	-
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utb.fulltext.sponsorship	The first author would like to mention MSM7088352102 grant, from which the work was supported.
utb.fulltext.projects	MSM 7088352102