Optimal Fractional Order PID Controller Design for Fractional Order Systems by Stochastic Multi Parameter Divergence Optimization Method with Different Random Distribution Functions

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dc.authoridGanji., Davood. Domiri/0000-0002-2344-526X
dc.authoridChen, YangQuan/0000-0002-7422-5988
dc.authoridAlagoz, Baris Baykant/0000-0001-5238-6433
dc.authoridHosseinNia, S Hassan/0000-0002-7475-4628
dc.authoridHosseinNia, S Hassan/0000-0002-7475-4628
dc.authoridATES, Abdullah/0000-0002-4236-6794
dc.authoridYeroglu, Celaleddin/0000-0002-6106-2374
dc.authorwosidGanji., Davood. Domiri/Z-3664-2019
dc.authorwosidChen, YangQuan/A-2301-2008
dc.authorwosidAlagoz, Baris Baykant/ABG-8526-2020
dc.authorwosidHosseinNia, S Hassan/P-7587-2014
dc.authorwosidYeroglu, Celaleddin/ABG-9572-2020
dc.authorwosidHosseinNia, S Hassan/J-7838-2013
dc.authorwosidATES, Abdullah/V-6929-2018
dc.contributor.authorAtes, A.
dc.contributor.authorAlagoz, B. B.
dc.contributor.authorChen, Y. Q.
dc.contributor.authorYeroglu, C.
dc.contributor.authorHosseinNia, S. Hassan
dc.date.accessioned2024-08-04T20:47:12Z
dc.date.available2024-08-04T20:47:12Z
dc.date.issued2019
dc.departmentİnönü Üniversitesien_US
dc.description7th IEEE International Conference on Control, Mechatronics and Automation(ICCMA) -- NOV 06-08, 2019 -- Delft Univ Technol, Delft, NETHERLANDSen_US
dc.description.abstractThis paper modifies Stochastic Multi Parameter Divergence Optimization Method (SMDO) by using some types of random distribution functions in order to show effects of different random distribution functions on optimization performance. SMDO is a parameter wise random search algorithm in random walk class. A prominent feature of SMDO method lies in using random number with standard uniform distribution while diverging a parameter of solution point in backward and forward directions to reach an optimal solution. SMDO method benefits from the success of random backward and forward divergences. This study investigates effects of four types of random distribution functions on performance of SMDO algorithm for controller tuning problem. These distributions are Chi-Square Distribution (CSD), Rayleigh Distribution (RD), Log Normal Distribution (LND) and Uniform random (LTD) distribution. To illustrate effects of these random distribution functions, SMDO is employed to fractional order PID (FOPID) controller tuning problems for fractional order model (FOM) and results obtained for different distribution functions are demonstrated.en_US
dc.description.sponsorshipIEEEen_US
dc.identifier.doi10.1109/iccma46720.2019.8988599
dc.identifier.endpage14en_US
dc.identifier.isbn978-1-7281-3787-2
dc.identifier.scopus2-s2.0-85081047847en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage9en_US
dc.identifier.urihttps://doi.org/10.1109/iccma46720.2019.8988599
dc.identifier.urihttps://hdl.handle.net/11616/99210
dc.identifier.wosWOS:000543726100002en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2019 Ieee 7th International Conference on Control, Mechatronics and Automation (Iccma 2019)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSMDOen_US
dc.subjectdistribution functionsen_US
dc.subjectcontroller designen_US
dc.titleOptimal Fractional Order PID Controller Design for Fractional Order Systems by Stochastic Multi Parameter Divergence Optimization Method with Different Random Distribution Functionsen_US
dc.typeConference Objecten_US

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