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Switching techniques and intelligent controllers for induction motor drive: Issues and recommendations

Adaptive control systems; Artificial intelligence; Controllers; Couplings; Electric drives; Electric motors; Fuzzy inference; Fuzzy logic; Induction motors; Inference engines; Intelligent agents; Intelligent control; Neural networks; Proportional control systems; Robust control; Rotors; Rotors (wind...

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Main Authors: Hannan M.A., Ali J.A., Ker P.J., Mohamed A., Lipu M.S.H., Hussain A.
Other Authors: 7103014445
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-237282023-05-29T14:51:18Z Switching techniques and intelligent controllers for induction motor drive: Issues and recommendations Hannan M.A. Ali J.A. Ker P.J. Mohamed A. Lipu M.S.H. Hussain A. 7103014445 56540826800 37461740800 57195440511 36518949700 57208481391 Adaptive control systems; Artificial intelligence; Controllers; Couplings; Electric drives; Electric motors; Fuzzy inference; Fuzzy logic; Induction motors; Inference engines; Intelligent agents; Intelligent control; Neural networks; Proportional control systems; Robust control; Rotors; Rotors (windings); Switches; Switching; Two term control systems; Variable speed drives; Vector spaces; Induction motor drive; Intelligent controllers; SPWM; Stator winding; SVPWM; Switching techniques; Electric machine control Induction motor drive is widely used in many load applications in approximately 60% of the total industrial load. However, the dynamic configuration of the induction motor, especially a three-phase induction motor (TIM) is a nonlinear system which is not easy to explain theoretically due to sudden changes in load or speed. Therefore, the development of variable speed drive with a robust switching technique and controller design is compulsory for improving the performance efficiency of the TIM. An advanced switching strategy is used for controlling voltage, frequency, and reducing harmonic output signals while an efficient controller is required to regulate currents, speed, torque, and rotor flux. Nevertheless, the development of such controllers and switching methods need the extensive mathematical model and complex online computation. This paper presents a critical review of the different switching techniques, switching pattern of voltage space vectors and switching time to solve the existing problems and enhance the performance of the TIM. Also, the paper describes the different intelligent controller techniques in terms of scalar control and vector control. Consequently, a comprehensive review on conventional controllers such as proportional integral derivative and artificial intelligence controllers such as an artificial neural network, adaptive neural fuzzy inference system, and fuzzy logic control are explained on their structure, algorithm, and mathematical model. Furthermore, the different integrated circuits of the TIM drive controller are reviewed along with benefits and limitations, current issues and challenges, and conclude with recommendations. All the highlighted insights of this review will hopefully lead to increased efforts toward the development of the advanced switching techniques and controllers for the future induction motor drive. � 2013 IEEE. Final 2023-05-29T06:51:18Z 2023-05-29T06:51:18Z 2018 Article 10.1109/ACCESS.2018.2867214 2-s2.0-85052676038 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052676038&doi=10.1109%2fACCESS.2018.2867214&partnerID=40&md5=909be6699ef29e2f2c6ea2874596ac99 https://irepository.uniten.edu.my/handle/123456789/23728 6 8447184 47489 47510 All Open Access, Gold Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Adaptive control systems; Artificial intelligence; Controllers; Couplings; Electric drives; Electric motors; Fuzzy inference; Fuzzy logic; Induction motors; Inference engines; Intelligent agents; Intelligent control; Neural networks; Proportional control systems; Robust control; Rotors; Rotors (windings); Switches; Switching; Two term control systems; Variable speed drives; Vector spaces; Induction motor drive; Intelligent controllers; SPWM; Stator winding; SVPWM; Switching techniques; Electric machine control
author2 7103014445
author_facet 7103014445
Hannan M.A.
Ali J.A.
Ker P.J.
Mohamed A.
Lipu M.S.H.
Hussain A.
format Article
author Hannan M.A.
Ali J.A.
Ker P.J.
Mohamed A.
Lipu M.S.H.
Hussain A.
spellingShingle Hannan M.A.
Ali J.A.
Ker P.J.
Mohamed A.
Lipu M.S.H.
Hussain A.
Switching techniques and intelligent controllers for induction motor drive: Issues and recommendations
author_sort Hannan M.A.
title Switching techniques and intelligent controllers for induction motor drive: Issues and recommendations
title_short Switching techniques and intelligent controllers for induction motor drive: Issues and recommendations
title_full Switching techniques and intelligent controllers for induction motor drive: Issues and recommendations
title_fullStr Switching techniques and intelligent controllers for induction motor drive: Issues and recommendations
title_full_unstemmed Switching techniques and intelligent controllers for induction motor drive: Issues and recommendations
title_sort switching techniques and intelligent controllers for induction motor drive: issues and recommendations
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806424418636791808
score 13.222552

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