Publication:
Implementation of DSP-based optimal fuzzy logic speed controller for IM drive using quantum lightning search algorithm

Simple item page
dc.citedby6
dc.contributor.authorAbd. Ali J.en_US
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorMohamed A.en_US
dc.contributor.authorPin Jern K.en_US
dc.contributor.authorAbdolrasol M.G.en_US
dc.contributor.authorid56540826800en_US
dc.contributor.authorid7103014445en_US
dc.contributor.authorid57195440511en_US
dc.contributor.authorid57212657243en_US
dc.contributor.authorid35796848700en_US
dc.date.accessioned2023-05-29T08:10:58Z
dc.date.available2023-05-29T08:10:58Z
dc.date.issued2020
dc.descriptionComputer circuits; Controllers; Digital signal processing; Induction motors; Learning algorithms; Lightning; Mean square error; Speed; Speed control; Speed regulators; Transient analysis; Damping capability; Fuzzy logic controllers; Mean absolute error; Prototype implementations; Root mean square errors; Search Algorithms; Speed controller; Standard deviation; Fuzzy logicen_US
dc.description.abstractThis paper presents quantum-inspired lightning search algorithm (QLSA) based fuzzy speed controller (QLSAF) to tune and minimize the mean absolute error (MAE) to improve the performance of the induction motor (IM) drive under different speed and load conditions. A QLSAF is designed both in simulation and prototype implementation utilizing Texas Instruments TMS320F28335 DSP. The simulation model of the proposed QLSAF technique is compared with the different fuzzy optimized techniques to validate the superiority of the developed controller. The robustness of the QLSAF-based inverter controller is found to be superior in all tested cases than the robustness of other controllers in terms of transient response, damping capability, and reduction of the MAE, root mean square error and standard deviation. Several experimental results show that the speed responses and stator currents are consistent with the simulation results, which verify and validate the performance of the proposed QLSAF-based speed controller. � 2019 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo107372
dc.identifier.doi10.1016/j.measurement.2019.107372
dc.identifier.scopus2-s2.0-85077290432
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85077290432&doi=10.1016%2fj.measurement.2019.107372&partnerID=40&md5=17e757f9f4757e496c0a80d3b990183a
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25564
dc.identifier.volume153
dc.publisherElsevier B.V.en_US
dc.sourceScopus
dc.sourcetitleMeasurement: Journal of the International Measurement Confederation
dc.titleImplementation of DSP-based optimal fuzzy logic speed controller for IM drive using quantum lightning search algorithmen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS