Improved kidney-inspired algorithm approach for tuning of PID controller in AVR system

dc.authorid0000-0002-7673-2553en_US
dc.authorid0000-0002-1839-025Xen_US
dc.contributor.authorEkinci, Serdar
dc.contributor.authorHekimoğu, Baran
dc.date.accessioned2019-07-03T11:34:15Z
dc.date.available2019-07-03T11:34:15Z
dc.date.issued2019-03-22en_US
dc.departmentBatman Üniversitesi Mühendislik - Mimarlık Fakültesi Bilgisayar Mühendisliği Bölümüen_US
dc.departmentBatman Üniversitesi Mühendislik - Mimarlık Fakültesi Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractThis paper proposes a novel tuning design of proportional integral derivative (PID) controller via an improved kidney-inspired algorithm (IKA) with a new objective function. The main objective of the proposed approach is to optimize the transient response of the AVR system by minimizing the maximum overshoot, settling time, rise time and peak time values of the terminal voltage, and eliminating the steady state error. After obtaining the optimal values of the three gains of the PID controller (K P , K I , and K D ) with the proposed approach, the transient response analysis was performed and compared with some of the current heuristic algorithms-based approaches in literature to show the superiority of the optimized PID controller. In order to evaluate the stability of the automatic voltage regulator (AVR) system tuned by IKA method, the pole/zero map analysis and Bode analysis are performed. Finally, the robustness analysis of the proposed approach has been carried out with variations in the parameters of the AVR system. The numerical simulation results demonstrated that the proposed IKA tuned PID controller has better control performances compared to the other existing approaches. The essence of the presented study points out that the proposed approach may successfully be applied for the AVR system.en_US
dc.identifier.citationEkinci, S., Hekimoğlu, B. (2019). Improved kidney-inspired algorithm approach for tuning of PID controller in AVR system. IEEE Access, 7, 39935-39947. https://doi.org/10.1109/access.2019.2906980en_US
dc.identifier.endpage39947en_US
dc.identifier.issn2169-3536
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage39935en_US
dc.identifier.urihttps://doi.org/10.1109/access.2019.2906980
dc.identifier.urihttps://hdl.handle.net/20.500.12402/2166
dc.identifier.volume7en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.isversionof10.1109/access.2019.2906980en_US
dc.relation.journalIEEE Accessen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectAutomatic Voltage Regulatoren_US
dc.subjectImproved Kidney-Inspired Algorithmen_US
dc.subjectPID Tuningen_US
dc.subjectRobustness Analysisen_US
dc.subjectTransient Responseen_US
dc.titleImproved kidney-inspired algorithm approach for tuning of PID controller in AVR systemen_US
dc.typeArticleen_US

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