Enhanced speed control of a DC servo system using PI plus DF controller tuned by stochastic fractal search technique

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dc.contributor.authorÇelik, Emre
dc.contributor.authorGör, Halil
dc.date.accessioned2020-05-01T12:11:53Z
dc.date.available2020-05-01T12:11:53Z
dc.date.issued2019
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.descriptionWOS: 000457636700009en_US
dc.description.abstractSince Proportional +Integral +Derivative (PID) controller is still the workhorse in taking over the workload of process control systems, this article introduces a new design methodology toward improving the performance of such controller. After a PI control law with windup protection is given, it is combined with a derivative path employing a first-order low pass filter in an innovative way to develop a performant controller called PI + DF controller. In attempting to attain a high level of control performance, gains of this controller including proportional, integral, derivative and filter gains are tuned choosing the recently introduced Stochastic Fractal Search (SFS) algorithm owing to its superiority to many state-of-the-art algorithms considering convergence, accuracy and robustness. To evaluate the efficacy of SFS, Particle Swarm Optimization (PSO) is also applied to the case study. Furthermore, the presented SFS optimized PI + DF controller is compared to a recently reported control scheme through simulation and experimental tests on an identical DC servo system. After providing the stability proof, SFS tuned PI + DF controller is found to be the pioneer in exhibiting the most accurate speed response profile under complicated scenarios, which is followed by PSO tuned PI + DF controller and the existing control approach, respectively. (C) 2018 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipResearch Fund of the Hakkari University [FM2017BAP9]en_US
dc.description.sponsorshipThe work presented in this paper was supported by Research Fund of the Hakkari University under Project No: FM2017BAP9. The critical review and constructive suggestions raised by the Editor and the Reviewers are gratefully acknowledged, which proved to be a bridge increasing the quality of this paper substantially. Prof. Gungor Bal and Prof. Nihat Ozturk are also given sincere thanks for providing the required devices in the experiments.en_US
dc.identifier.doi10.1016/j.jfranklin.2018.11.020en_US
dc.identifier.endpage1359en_US
dc.identifier.issn0016-0032
dc.identifier.issn1879-2693
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1333en_US
dc.identifier.urihttps://doi.org/10.1016/j.jfranklin.2018.11.020
dc.identifier.urihttps://hdl.handle.net/20.500.12684/6237
dc.identifier.volume356en_US
dc.identifier.wosWOS:000457636700009en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofJournal Of The Franklin Institute-Engineering And Applied Mathematicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleEnhanced speed control of a DC servo system using PI plus DF controller tuned by stochastic fractal search techniqueen_US
dc.typeArticleen_US

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