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Adaptive predictive control of nonlinear system with constraint of manipulated variable

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dc.title Adaptive predictive control of nonlinear system with constraint of manipulated variable en
dc.contributor.author Bobál, Vladimír
dc.contributor.author Kubalčík, Marek
dc.contributor.author Chalupa, Petr
dc.contributor.author Dostál, Petr
dc.relation.ispartof Proceedings of the IASTED International Conference on Modelling, Identification, and Control, MIC
dc.identifier.issn 1025-8973 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-0-88986-782-6
dc.date.issued 2009
dc.citation.spage 349
dc.citation.epage 354
dc.event.title 28th IASTED International Conference on Modelling, Identification, and Control, MIC 2009
dc.event.location Innsbruck
utb.event.state-en Austria
utb.event.state-cs Rakousko
dc.event.sdate 2009-02-16
dc.event.edate 2009-02-18
dc.type conferenceObject
dc.language.iso en
dc.publisher Acta Press
dc.subject adaptive control en
dc.subject CARIMA model en
dc.subject dual control en
dc.subject nonlinear systems en
dc.subject predictive control en
dc.subject real-time control en
dc.subject servo systems en
dc.description.abstract The paper is focused in design of an adaptive predictive control algorithm and its application for control of a laboratory servo - motor. The algorithm considers constraints of a manipulated variable. The adaptive predictive controller is based on an analytical design of a structure of the laboratory model and measured both static and dynamic characteristics. An ARX model is used in the identification part of the adaptive controller. Its parameters are recursively estimated using the recursive least squares method with the directional forgetting. The control algorithm is based on the Generalised Predictive Control (GPC) method. The optimization was realized by minimization of a quadratic objective function. The predictive controllers design is based on a CARIMA model of the second order. A recursive algorithm was designed for computation of predictions. This predictive controller was verified by a real-time control of highly nonlinear laboratory model - Amira DR300 Speed Control with Variable Load. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1003965
utb.identifier.obdid 43860659
utb.identifier.scopus 2-s2.0-74549203189
utb.source d-scopus
dc.date.accessioned 2015-01-13T09:25:59Z
dc.date.available 2015-01-13T09:25:59Z
utb.contributor.internalauthor Bobál, Vladimír
utb.contributor.internalauthor Kubalčík, Marek
utb.contributor.internalauthor Chalupa, Petr
utb.contributor.internalauthor Dostál, Petr
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