Role of optimization algorithms based fuzzy controller in achieving induction motor performance enhancement

M. A. Hannan; Jamal Abd. Ali; M. S. Hossain Lipu; A. Mohamed; Pin Jern Ker; T. M. Indra Mahlia; M. Mansor; Aini Hussain; Kashem M. Muttaqi; Z. Y. Dong

doi:10.1038/s41467-020-17623-5

Nature Communications (Jul 2020)

Role of optimization algorithms based fuzzy controller in achieving induction motor performance enhancement

M. A. Hannan,
Jamal Abd. Ali,
M. S. Hossain Lipu,
A. Mohamed,
Pin Jern Ker,
T. M. Indra Mahlia,
M. Mansor,
Aini Hussain,
Kashem M. Muttaqi,
Z. Y. Dong

Affiliations

M. A. Hannan: Department of Electrical Power Engineering, College of Engineering, Universiti Tenaga Nasional
Jamal Abd. Ali: General Company of Electricity Production Middle Region, Ministry of Electricity
M. S. Hossain Lipu: Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia
A. Mohamed: Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia
Pin Jern Ker: Department of Electrical Power Engineering, College of Engineering, Universiti Tenaga Nasional
T. M. Indra Mahlia: School of Information, Systems and Modelling, University of Technology Sydney
M. Mansor: Department of Electrical Power Engineering, College of Engineering, Universiti Tenaga Nasional
Aini Hussain: Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia
Kashem M. Muttaqi: School of Electrical, Computer and Telecommunications Engineering, University of Wollongong
Z. Y. Dong: School of Electrical Engineering and Telecommunications, UNSW

DOI: https://doi.org/10.1038/s41467-020-17623-5
Journal volume & issue: Vol. 11, no. 1
pp. 1 – 11

Abstract

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Though optimization algorithms for fuzzy logic controller (FIC)-based three-phase induction motor (TIM) systems are attractive for improving efficiency, existing methods have limited search capability. Here, the authors report a quantum-inspired lightning search algorithm with enhanced performance.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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