Genetik algoritma ile düşük duyarlili?a sahip optimal fopid denetleyici tasarimi

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dc.authorscopusid57207455383
dc.authorscopusid55575011000
dc.authorscopusid57221078940
dc.contributor.authorTufenkci S.
dc.contributor.authorSenol B.
dc.contributor.authorAlagoz B.B.
dc.date.accessioned2024-08-04T20:03:59Z
dc.date.available2024-08-04T20:03:59Z
dc.date.issued2019
dc.departmentİnönü Üniversitesien_US
dc.description2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019 -- 21 September 2019 through 22 September 2019 -- 153040en_US
dc.description.abstractResearchers have demonstrated that Fractionalorder Proportional Integral Derivative (FOPID) controllers can provide superior control performance compared to classical PID controllers. This study presents an optimal FOPID controller design method in v-domain to achieve lower sensitivity to disturbance. For this purpose, an optimal FOPID controller design method is proposed, where a multi-objective optimization problem, which reduces sensitivity of system to external disturbances and stabilizes the system, is defined and solved by Genetic Algorithm (GA). This design is performed in the stability region of the first Riemann Sheet in v-plane. To increase system robustness against disturbances, sensitivity function of the system is minimized. Hence, a multi-objective optimization problem, which is solved by GA algorithm, is stated for placement of minimum angle system pole to a target angle within the stability region and minimization of system sensitivity function. Thus, for fractional order systems, FOPID controller design can be performed in v-domain. An illustrative design example and comparison of the resulting design with other design methods are presented. © 2019 IEEE.en_US
dc.identifier.doi10.1109/IDAP.2019.8875982
dc.identifier.isbn9781728129327
dc.identifier.scopus2-s2.0-85074890163en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/IDAP.2019.8875982
dc.identifier.urihttps://hdl.handle.net/11616/92241
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFractional order PID controlleren_US
dc.subjectfractional order system stabilityen_US
dc.subjectGAen_US
dc.titleGenetik algoritma ile düşük duyarlili?a sahip optimal fopid denetleyici tasarimien_US
dc.typeConference Objecten_US

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