2DOF multi-objective optimal tuning of disturbance reject fractional order PIDA controllers according to improved consensus oriented random search method

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dc.contributor.authorÖzbey, Necatics
dc.contributor.authorYeroglu, Celaleddincs
dc.contributor.authorAlagoz, Baris Baykantcs
dc.contributor.authorHerencsár, Norbertcs
dc.contributor.authorKartci, Aslihancs
dc.contributor.authorŠotner, Romancs
dc.coverage.issue1cs
dc.coverage.volume25cs
dc.date.issued2020-09-30cs
dc.description.abstractThis study presents a Fractional Order Proportional Integral Derivative Acceleration (FOPIDA) controller design methodology to improve set point and disturbance reject control performance. The proposed controller tuning method performs a multi-objective optimal fine-tuning strategy that implements a Consensus Oriented Random Search (CORS) algorithm to evaluate transient simulation results of a set point filter type Two Degree of Freedom (2DOF) FOPIDA control system. Contributions of this study have three folds: Firstly, it addresses tuning problem of FOPIDA controllers for first order time delay systems. Secondly, the study aims fine-tuning of 2DOF FOPIDA control structure for improved set point and disturbance rejection control according to transient simulations of implementation models. This enhances practical performance of theoretical tuning method according to implementation requirements. Thirdly, the paper presents a hybrid controller tuning methodology that increases effectiveness of the CORS algorithm by using stabilizing controller coefficients as an initial configuration. Accordingly, the CORS algorithm performs the fine-tuning of 2DOF FOPIDA controllers to achieve an improved set point and disturbance rejection control performances. This fine-tuning is carried out by considering transient simulation results of 2DOF FOPIDA controller implementation model. Moreover, Reference to Disturbance Ratio (RDR) formulation of the FOPIDA controller is derived and used for measurement of disturbance rejection control performance. Illustrative design examples are presented to demonstrate effectiveness of the proposed method.en
dc.formattextcs
dc.format.extent159-170cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationJournal of Advanced Research. 2020, vol. 25, issue 1, p. 159-170.en
dc.identifier.doi10.1016/j.jare.2020.03.008cs
dc.identifier.issn2090-1232cs
dc.identifier.orcid0000-0002-9504-2275cs
dc.identifier.orcid0000-0001-5690-7574cs
dc.identifier.orcid0000-0002-2430-1815cs
dc.identifier.other164170cs
dc.identifier.researcheridA-6539-2009cs
dc.identifier.researcheridE-2150-2018cs
dc.identifier.researcheridG-4209-2017cs
dc.identifier.scopus23012051100cs
dc.identifier.scopus55576535400cs
dc.identifier.scopus21834721500cs
dc.identifier.urihttp://hdl.handle.net/11012/195595
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofJournal of Advanced Researchcs
dc.relation.urihttps://doi.org/10.1016/j.jare.2020.03.008cs
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2090-1232/cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/cs
dc.subjectFractional order controlen
dc.subject2DOF controller designen
dc.subjectDisturbance rejectionen
dc.subjectReference to disturbance ratioen
dc.subjectRandom search algorithmen
dc.title2DOF multi-objective optimal tuning of disturbance reject fractional order PIDA controllers according to improved consensus oriented random search methoden
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-164170en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:42:07en
sync.item.modts2025.01.17 15:18:59en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
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