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PD/PID controller tuning based on model approximations: Model reduction of some unstable and higher order nonlinear models

dc.contributor.authorDalen, Christer
dc.contributor.authorDi Ruscio, David Luigi
dc.date.accessioned2018-01-08T12:49:27Z
dc.date.available2018-01-08T12:49:27Z
dc.date.created2018-01-03T14:08:10Z
dc.date.issued2017
dc.identifier.citationModeling, Identification and Control. 2017, 38 (4), 185-197.nb_NO
dc.identifier.issn0332-7353
dc.identifier.urihttp://hdl.handle.net/11250/2476228
dc.description.abstractA model reduction technique based on optimization theory is presented, where a possible higher order system/model is approximated with an unstable DIPTD model by using only step response data. The DIPTD model is used to tune PD/PID controllers for the underlying possible higher order system. Numerous examples are used to illustrate the theory, i.e. both linear and nonlinear models. The Pareto Optimal controller is used as a reference controllernb_NO
dc.language.isoengnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectPD and PID controllersnb_NO
dc.subjectdouble integrating systemnb_NO
dc.subjecttuningnb_NO
dc.titlePD/PID controller tuning based on model approximations: Model reduction of some unstable and higher order nonlinear modelsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber185-197nb_NO
dc.source.volume38nb_NO
dc.source.journalModeling, Identification and Controlnb_NO
dc.source.issue4nb_NO
dc.identifier.doi10.4173/mic.2017.4.3
dc.identifier.cristin1534946
cristin.unitcode222,58,2,0
cristin.unitnameInstitutt for elektro, IT og kybernetikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal