Grey Fuzzy Sliding Mode Control with Grey Estimator for Brushless Doubly Fed Motor

Shao, Z; Zhan, Y; Guo, Y; Zhu, J

Grey Fuzzy Sliding Mode Control with Grey Estimator for Brushless Doubly Fed Motor

Shao, Z Zhan, Y Guo, Y

Zhu, J

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Publisher:: ASEMA and HTS World Pty. Ltd. Australia
Publication Type:: Journal Article
Citation:: Journal of Applied Superconductivity and Electromagnetics, 2010, 1 (1), pp. 107 - 114
Issue Date:: 2010-01

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Field	Value	Language
dc.contributor.author	Shao, Z	en_US
dc.contributor.author	Zhan, Y	en_US
dc.contributor.author	Guo, Y https://orcid.org/0000-0001-6182-0684	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.date.issued	2010-01	en_US
dc.identifier.citation	Journal of Applied Superconductivity and Electromagnetics, 2010, 1 (1), pp. 107 - 114	en_US
dc.identifier.issn	1836-7151	en_US
dc.identifier.uri	http://hdl.handle.net/10453/15440
dc.description.abstract	In this paper, a grey fuzzy sliding mode controller (GFSMC) for brushless doubly fed motor (BDFM) adjustable speed system is presented. A grey model estimator and adaptive fuzzy control technology are incorporated into the sliding mode control (SMC) to adaptively regulate the adaptive law of SMC. The proposed adaptive fuzzy equivalent controller, adaptive fuzzy switching controller, and grey model compensation controller for BDFM can eliminate the average chattering encountered by most SMC schemes, improve the robustness, and obtain excellent static and dynamic performances of SMC. Simulation results show that the proposed control strategy is feasible, correct and effective.	en_US
dc.publisher	ASEMA and HTS World Pty. Ltd. Australia	en_US
dc.relation.ispartof	Journal of Applied Superconductivity and Electromagnetics	en_US
dc.title	Grey Fuzzy Sliding Mode Control with Grey Estimator for Brushless Doubly Fed Motor	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CCET - Centre for Clean Energy Technology
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.issue	1	en_US
pubs.volume	1	en_US

Abstract:

In this paper, a grey fuzzy sliding mode controller (GFSMC) for brushless doubly fed motor (BDFM) adjustable speed system is presented. A grey model estimator and adaptive fuzzy control technology are incorporated into the sliding mode control (SMC) to adaptively regulate the adaptive law of SMC. The proposed adaptive fuzzy equivalent controller, adaptive fuzzy switching controller, and grey model compensation controller for BDFM can eliminate the average chattering encountered by most SMC schemes, improve the robustness, and obtain excellent static and dynamic performances of SMC. Simulation results show that the proposed control strategy is feasible, correct and effective.

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http://hdl.handle.net/10453/15440