Optimum of fractional order fuzzy logic controller with several evolutionary optimization algorithms for inverted pendulum

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dc.contributor.authorGhaleb, A.F.
dc.contributor.authorOglah , Ahmed Alaa
dc.contributor.authorHumaidi, Amjad J.
dc.contributor.authorAl-Obaidi, Abdulkareem Sh. Mahdi
dc.contributor.authorIbraheem, Ibraheem Kasim
dc.contributor.authorAl-Obaidi, Abdulkareem Sh. Mahdi
dc.contributor.statusnem
dc.date.accessioned2023-05-08T12:28:36Z
dc.date.available2023-05-08T12:28:36Z
dc.date.issued2023-02-13
dc.description.abstractThis paper compared the performance between Integer Order Fuzzy PID (IOFPID) and Fractional Order Fuzzy PID (FOFPID) controllers for inverted pendulum system as a controlling plant. The parameters of each controller were tuned with four evolutionary optimization algorithms (Social Spider Optimization (SSO), Swarm Optimization (PSO), Genetic Algorithm (GA), and Particle Ant Colony Optimization (ACO)). The comparisons were carried out between the two controllers IOFPID and FOFPID, as well as among the four optimization algorithms for the two controllers. The results of comparisons proved that the FOFPID controller with SSO has achieved the best time response char- acteristics and the least tuning time.
dc.identifier.doi10.1556/1848.2021.00375
dc.identifier.issn2062-0810
dc.identifier.issue1
dc.identifier.jtitleInternational Review of Applied Sciences and Engineering
dc.identifier.urihttps://hdl.handle.net/2437/352252
dc.identifier.urlhttps://akjournals.com/view/journals/1848/14/1/article-p1.xml
dc.identifier.volume14
dc.language.isohu
dc.publisherAkadémiai Kiadó
dc.subjectfuzzy PID
dc.subjectfractional order PID
dc.subjectGA
dc.subjectACO
dc.subjectPSO
dc.subjectSSO
dc.titleOptimum of fractional order fuzzy logic controller with several evolutionary optimization algorithms for inverted pendulum
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International Review of Applied Sciences and Engineering