Implementation of DSP-based optimal fuzzy logic speed controller for IM drive using quantum lightning search algorithm
Computer 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 er...
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2023
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my.uniten.dspace-255642023-05-29T16:10:58Z Implementation of DSP-based optimal fuzzy logic speed controller for IM drive using quantum lightning search algorithm Abd. Ali J. Hannan M.A. Mohamed A. Pin Jern K. Abdolrasol M.G. 56540826800 7103014445 57195440511 57212657243 35796848700 Computer 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 logic This 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 Ltd Final 2023-05-29T08:10:58Z 2023-05-29T08:10:58Z 2020 Article 10.1016/j.measurement.2019.107372 2-s2.0-85077290432 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077290432&doi=10.1016%2fj.measurement.2019.107372&partnerID=40&md5=17e757f9f4757e496c0a80d3b990183a https://irepository.uniten.edu.my/handle/123456789/25564 153 107372 Elsevier B.V. Scopus |
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Computer 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 logic |
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56540826800 |
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56540826800 Abd. Ali J. Hannan M.A. Mohamed A. Pin Jern K. Abdolrasol M.G. |
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Abd. Ali J. Hannan M.A. Mohamed A. Pin Jern K. Abdolrasol M.G. |
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Abd. Ali J. Hannan M.A. Mohamed A. Pin Jern K. Abdolrasol M.G. Implementation of DSP-based optimal fuzzy logic speed controller for IM drive using quantum lightning search algorithm |
author_sort |
Abd. Ali J. |
title |
Implementation of DSP-based optimal fuzzy logic speed controller for IM drive using quantum lightning search algorithm |
title_short |
Implementation of DSP-based optimal fuzzy logic speed controller for IM drive using quantum lightning search algorithm |
title_full |
Implementation of DSP-based optimal fuzzy logic speed controller for IM drive using quantum lightning search algorithm |
title_fullStr |
Implementation of DSP-based optimal fuzzy logic speed controller for IM drive using quantum lightning search algorithm |
title_full_unstemmed |
Implementation of DSP-based optimal fuzzy logic speed controller for IM drive using quantum lightning search algorithm |
title_sort |
implementation of dsp-based optimal fuzzy logic speed controller for im drive using quantum lightning search algorithm |
publisher |
Elsevier B.V. |
publishDate |
2023 |
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1806426177025343488 |
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13.214268 |