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

Hannan, MA; Ali, JA; Hossain Lipu, MS; Mohamed, A; Ker, PJ; Indra Mahlia, TM; Mansor, M; Hussain, A; Muttaqi, KM; Dong, ZY

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

Hannan, MA Ali, JA Hossain Lipu, MS Mohamed, A Ker, PJ Indra Mahlia, TM Mansor, M Hussain, A Muttaqi, KM Dong, ZY

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Publisher:: Springer Science and Business Media LLC
Publication Type:: Journal Article
Citation:: Nature communications, 2020, 11, (1), pp. 3792
Issue Date:: 2020-07-30

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Field	Value	Language
dc.contributor.author	Hannan, MA
dc.contributor.author	Ali, JA
dc.contributor.author	Hossain Lipu, MS
dc.contributor.author	Mohamed, A
dc.contributor.author	Ker, PJ
dc.contributor.author	Indra Mahlia, TM
dc.contributor.author	Mansor, M
dc.contributor.author	Hussain, A
dc.contributor.author	Muttaqi, KM
dc.contributor.author	Dong, ZY
dc.date.accessioned	2020-08-04T03:41:28Z
dc.date.available	2020-07-02
dc.date.available	2020-08-04T03:41:28Z
dc.date.issued	2020-07-30
dc.identifier.citation	Nature communications, 2020, 11, (1), pp. 3792
dc.identifier.issn	2041-1723
dc.identifier.issn	2041-1723
dc.identifier.uri	http://hdl.handle.net/10453/141961
dc.description.abstract	Three-phase induction motors (TIMs) are widely used for machines in industrial operations. As an accurate and robust controller, fuzzy logic controller (FLC) is crucial in designing TIMs control systems. The performance of FLC highly depends on the membership function (MF) variables, which are evaluated by heuristic approaches, leading to a high processing time. To address these issues, optimisation algorithms for TIMs have received increasing interest among researchers and industrialists. Here, we present an advanced and efficient quantum-inspired lightning search algorithm (QLSA) to avoid exhaustive conventional heuristic procedures when obtaining MFs. The accuracy of the QLSA based FLC (QLSAF) speed control is superior to other controllers in terms of transient response, damping capability and minimisation of statistical errors under diverse speeds and loads. The performance of the proposed QLSAF speed controller is validated through experiments. Test results under different conditions show consistent speed responses and stator currents with the simulation results.
dc.format	Electronic
dc.language	eng
dc.publisher	Springer Science and Business Media LLC
dc.relation.ispartof	Nature communications
dc.relation.isbasedon	10.1038/s41467-020-17623-5
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	This is a post-peer-review, pre-copyedit version of an article published in Nature communications. The final authenticated version is available online at: https://dx.doi.org/10.1038/s41467-020-17623-5.	en_US
dc.title	Role of optimization algorithms based fuzzy controller in achieving induction motor performance enhancement.
dc.type	Journal Article
utslib.citation.volume	11
utslib.location.activity	England
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
dc.date.updated	2020-08-04T03:41:26Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	11
utslib.citation.issue	1

Abstract:

Three-phase induction motors (TIMs) are widely used for machines in industrial operations. As an accurate and robust controller, fuzzy logic controller (FLC) is crucial in designing TIMs control systems. The performance of FLC highly depends on the membership function (MF) variables, which are evaluated by heuristic approaches, leading to a high processing time. To address these issues, optimisation algorithms for TIMs have received increasing interest among researchers and industrialists. Here, we present an advanced and efficient quantum-inspired lightning search algorithm (QLSA) to avoid exhaustive conventional heuristic procedures when obtaining MFs. The accuracy of the QLSA based FLC (QLSAF) speed control is superior to other controllers in terms of transient response, damping capability and minimisation of statistical errors under diverse speeds and loads. The performance of the proposed QLSAF speed controller is validated through experiments. Test results under different conditions show consistent speed responses and stator currents with the simulation results.

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http://hdl.handle.net/10453/141961