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Optimized speed controller for induction motor drive using quantum lightning search algorithm

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dc.citedby4
dc.contributor.authorAli J.A.en_US
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorMohamed A.en_US
dc.contributor.authorid56540826800en_US
dc.contributor.authorid7103014445en_US
dc.contributor.authorid57195440511en_US
dc.date.accessioned2023-05-29T06:38:18Z
dc.date.available2023-05-29T06:38:18Z
dc.date.issued2017
dc.descriptionElectric drives; Errors; Induction motors; Learning algorithms; Lightning; Mean square error; Optimization; Particle swarm optimization (PSO); Proportional control systems; Speed; Speed control; Backtracking search algorithms; MATLAB/Simulink environment; PI Controller; Proportional integral derivative controllers; Search Algorithms; Three phase induction motor; Trial-and-error procedures; V/f control; Controllersen_US
dc.description.abstractThis paper presents an improve proportional-integral-derivative (PID) controller design technique for controlling a three-phase induction motor (TIM) speed drive using quantum lightning search algorithm (QLSA). This proposed controller avoids the exhaustive conventional trial- and-error procedure for obtaining PID parameters. Objective function using in the proposed controller is mean absolute error (MAE) to enhance the TIM speed performance under sudden change of the speed and load conditions. The QLSA is used to improve two controller system PID and PI controllers in the TIM drive. Moreover, the QLSA algorithm comperes with three optimization algorithms, namely, lightning search algorithm (LSA), the backtracking search algorithm (BSA), the particle swarm optimization (PSO). Designed and validated the simulation model by using a MATLAB/Simulink environment. Results show that the QLSA-based PID and PI speed controller is achieved better results than the other optimization controllers through reduce of damping capability, enhance the transient response, minimize the MAE, root mean square error (RMSE) and standard division (SD) of the speed response. � 2016 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7951615
dc.identifier.doi10.1109/PECON.2016.7951615
dc.identifier.epage516
dc.identifier.scopus2-s2.0-85024361913
dc.identifier.spage511
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85024361913&doi=10.1109%2fPECON.2016.7951615&partnerID=40&md5=5fadbce3b1d5286cfcaa49fe3b4f6927
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23189
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitlePECON 2016 - 2016 IEEE 6th International Conference on Power and Energy, Conference Proceeding
dc.titleOptimized speed controller for induction motor drive using quantum lightning search algorithmen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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