Multi-Loop Model Reference Proportional Integral Derivative Controls: Design and Performance Evaluations

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dc.authoridAlagoz, Baris Baykant/0000-0001-5238-6433
dc.authoridTepljakov, Aleksei/0000-0002-7158-8484
dc.authoridYeroglu, Celaleddin/0000-0002-6106-2374
dc.authoridPetlenkov, Eduard/0000-0003-2167-6280
dc.authorwosidAlagoz, Baris Baykant/ABG-8526-2020
dc.authorwosidTepljakov, Aleksei/F-1632-2017
dc.authorwosidYeroglu, Celaleddin/ABG-9572-2020
dc.authorwosidPetlenkov, Eduard/G-5537-2017
dc.contributor.authorAlagoz, Baris Baykant
dc.contributor.authorTepljakov, Aleksei
dc.contributor.authorPetlenkov, Eduard
dc.contributor.authorYeroglu, Celaleddin
dc.date.accessioned2024-08-04T20:47:12Z
dc.date.available2024-08-04T20:47:12Z
dc.date.issued2020
dc.departmentİnönü Üniversitesien_US
dc.description.abstractDue to unpredictable and fluctuating conditions in real-world control system applications, disturbance rejection is a substantial factor in robust control performance. The inherent disturbance rejection capacity of classical closed loop control systems is limited, and an increase in disturbance rejection performance of single-loop control systems affects the set-point control performance. Multi-loop control structures, which involve model reference control loops, can enhance the inherent disturbance rejection capacity of classical control loops without degrading set-point control performance; while the classical closed Proportional Integral Derivative (PID) control loop deals with stability and set-point control, the additional model reference control loop performs disturbance rejection control. This adaptive disturbance rejection, which does not influence set-point control performance, is achieved by selecting reference models as transfer functions of real control systems. This study investigates six types of multi-loop model reference (ML-MR) control structures for PID control loops and presents straightforward design schemes to enhance the disturbance rejection control performance of existing PID control loops. For this purpose, linear and non-linear ML-MR control structures are introduced, and their control performance improvements and certain inherent drawbacks of these structures are discussed. Design examples demonstrate the benefits of the ML-MR control structures for disturbance rejection performance improvement of PID control loops without severely deteriorating their set-point performance.en_US
dc.description.sponsorshipEuropean Cooperation in Science and Technology (COST) Action [CA15225]; Estonian Research Council [PRG658]en_US
dc.description.sponsorshipThis research was funded by the European Cooperation in Science and Technology (COST) Action CA15225. The work of Eduard Petlenkov and Aleksei Tepljakov was supported by the Estonian Research Council grant PRG658.en_US
dc.identifier.doi10.3390/a13020038
dc.identifier.issn1999-4893
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85081136220en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.3390/a13020038
dc.identifier.urihttps://hdl.handle.net/11616/99211
dc.identifier.volume13en_US
dc.identifier.wosWOS:000519108500018en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofAlgorithmsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectmulti-loop model reference controlen_US
dc.subjectPID controllersen_US
dc.subjectdisturbance rejection controlen_US
dc.titleMulti-Loop Model Reference Proportional Integral Derivative Controls: Design and Performance Evaluationsen_US
dc.typeArticleen_US

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