Investigation of PIDA Controller Parameters via PSO Algorithm

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dc.authoridHanbay, Davut/0000-0003-2271-7865
dc.authoridÖZBEY, Necati/0000-0002-2205-8890;
dc.authorwosidHanbay, Davut/AAG-8511-2019
dc.authorwosidÖZBEY, Necati/AAM-6180-2020
dc.authorwosidYeroglu, Celaleddin/ABG-9572-2020
dc.contributor.authorDonuk, Kenan
dc.contributor.authorOzbey, Necati
dc.contributor.authorInan, Mevlut
dc.contributor.authorYeroglu, Celaleddin
dc.contributor.authorHanbay, Davut
dc.date.accessioned2024-08-04T20:45:46Z
dc.date.available2024-08-04T20:45:46Z
dc.date.issued2018
dc.departmentİnönü Üniversitesien_US
dc.descriptionInternational Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 28-30, 2018 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractIn this study, a method is proposed to determine the parameters of Proportional Integral Derivative Acceleration (PIDA) controller, which are used in the control of higher degree systems, via Particle Swarm Optimization (PSO) algorithm. Classic controller methods may sometimes be insufficient, especially in the control of higher degree systems. In PIDA controller design, heuristic optimization algorithms, which is one of the recommended methods for these systems, provides successful results. The performance of the PIDA controller obtained by the proposed method in the paper is compared with the gradient search and genetic algorithms in the literature. The unit step response and the frequency response of the controller show the effectiveness of the method.en_US
dc.description.sponsorshipInonu Univ, Comp Sci Dept,IEEE Turkey Sect,Anatolian Scien_US
dc.identifier.isbn978-1-5386-6878-8
dc.identifier.scopus2-s2.0-85062510489en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11616/98687
dc.identifier.wosWOS:000458717400148en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2018 International Conference on Artificial Intelligence and Data Processing (Idap)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPIDA controlleren_US
dc.subjectParticle swarm optimizationen_US
dc.subjectUnit step responseen_US
dc.subjectFrequency responseen_US
dc.titleInvestigation of PIDA Controller Parameters via PSO Algorithmen_US
dc.typeConference Objecten_US

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