Publication:
PSO-Based PI Controller for Speed Control Of DC Motor

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dc.contributor.authorAbd Samat A.A.en_US
dc.contributor.authorSubani M.A.en_US
dc.contributor.authorAb Aziz N.F.en_US
dc.contributor.authorSalim N.A.en_US
dc.contributor.authorDaud K.en_US
dc.contributor.authorTajudin A.I.en_US
dc.contributor.authorid57928129000en_US
dc.contributor.authorid58069083500en_US
dc.contributor.authorid57221906825en_US
dc.contributor.authorid36806685300en_US
dc.contributor.authorid42961085300en_US
dc.contributor.authorid55646947900en_US
dc.date.accessioned2023-05-29T09:38:53Z
dc.date.available2023-05-29T09:38:53Z
dc.date.issued2022
dc.descriptionControllers; DC motors; Electric loads; Electric machine control; Particle swarm optimization (PSO); Timing circuits; Transient analysis; Tuning; Two term control systems; Armature voltage control; D.C. motors; DC chopper circuit; DC choppers; Error methods; Particle swarm; Particle swarm optimization; Proportional integral controllers; Separately excited dc motors; Swarm optimization; Choppers (circuits)en_US
dc.description.abstractDC motor is complex and mathematically demanding to control because of its significant nonlinearity. This paper examined a tuning method for a proportional-integral (PI) controller to control the speed of a DC motor by using the particle swarm optimization (PSO) technique. Armature voltage control by DC Chopper would control the speed of the DC motor, while a closed-loop PI controller is used to control the speed of the motor as desired. PI controller gain tuning was developed using PSO and the trial-error method. The primary goal of this work is to minimize system response and improve the speed performance of a DC motor by ensuring that the PI gain value obtained is accurate. The result shows the PI controller tuned by the PSO algorithm produces a better system performance than the trial-error method in terms of system time response in the variation of the speed and load responses. In conclusion, the PSO algorithm produces a better transient response with faster rise time, minimum percentage overshoot, and faster settling time. � 2022 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/PECon54459.2022.9988840
dc.identifier.epage486
dc.identifier.scopus2-s2.0-85146418025
dc.identifier.spage481
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85146418025&doi=10.1109%2fPECon54459.2022.9988840&partnerID=40&md5=c02eb51ed863062882dda250bc6c550a
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27037
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2022 IEEE International Conference on Power and Energy: Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022
dc.titlePSO-Based PI Controller for Speed Control Of DC Motoren_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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