dc.contributor.author | Dalen, Christer | |
dc.contributor.author | Di Ruscio, David Luigi | |
dc.date.accessioned | 2018-01-08T12:49:27Z | |
dc.date.available | 2018-01-08T12:49:27Z | |
dc.date.created | 2018-01-03T14:08:10Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Modeling, Identification and Control. 2017, 38 (4), 185-197. | nb_NO |
dc.identifier.issn | 0332-7353 | |
dc.identifier.uri | http://hdl.handle.net/11250/2476228 | |
dc.description.abstract | A 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 controller | nb_NO |
dc.language.iso | eng | nb_NO |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.subject | PD and PID controllers | nb_NO |
dc.subject | double integrating system | nb_NO |
dc.subject | tuning | nb_NO |
dc.title | PD/PID controller tuning based on model approximations: Model reduction of some unstable and higher order nonlinear models | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.pagenumber | 185-197 | nb_NO |
dc.source.volume | 38 | nb_NO |
dc.source.journal | Modeling, Identification and Control | nb_NO |
dc.source.issue | 4 | nb_NO |
dc.identifier.doi | 10.4173/mic.2017.4.3 | |
dc.identifier.cristin | 1534946 | |
cristin.unitcode | 222,58,2,0 | |
cristin.unitname | Institutt for elektro, IT og kybernetikk | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |