A simplified adaptive neuro-fuzzy inference system control strategy for PMSM drives

International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.

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Main Authors: Mustafa, Khalid Masood, Hew, Wooi Ping, Prof. Dr., Nasrudin, Abd Rahim
Other Authors: mkm_imn@hotmail.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
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Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/20495
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spelling my.unimap-204952012-07-19T13:25:59Z A simplified adaptive neuro-fuzzy inference system control strategy for PMSM drives Mustafa, Khalid Masood Hew, Wooi Ping, Prof. Dr. Nasrudin, Abd Rahim mkm_imn@hotmail.com wphew@um.edu.my nasrudin@um.edu.my Adaptive Neuro-Fuzzy Inference System (ANFIS) Permanent Magnet Synchronous Motor (PMSM) Membership functions International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia. In this paper, a simplified Adaptive Neuro-Fuzzy Inference System (ANFIS)-based control strategy is presented for a vector controlled Permanent Magnet Synchronous Motor (PMSM) drive. The ANFIS uses the speed error as the only input, with three membership functions and thus only three rules. Offline training is performed for the ANFIS to learn to output the appropriate values of torque producing current isq based on the speed error. Results of MATLAB simulation show excellent speed response of the PMSM drive in both transient and steady state conditions. 2012-07-19T13:25:59Z 2012-07-19T13:25:59Z 2012-02-27 Working Paper http://hdl.handle.net/123456789/20495 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012) Universiti Malaysia Perlis (UniMAP) School of Mechatronic Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Adaptive Neuro-Fuzzy Inference System (ANFIS)
Permanent Magnet Synchronous Motor (PMSM)
Membership functions
spellingShingle Adaptive Neuro-Fuzzy Inference System (ANFIS)
Permanent Magnet Synchronous Motor (PMSM)
Membership functions
Mustafa, Khalid Masood
Hew, Wooi Ping, Prof. Dr.
Nasrudin, Abd Rahim
A simplified adaptive neuro-fuzzy inference system control strategy for PMSM drives
description International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.
author2 mkm_imn@hotmail.com
author_facet mkm_imn@hotmail.com
Mustafa, Khalid Masood
Hew, Wooi Ping, Prof. Dr.
Nasrudin, Abd Rahim
format Working Paper
author Mustafa, Khalid Masood
Hew, Wooi Ping, Prof. Dr.
Nasrudin, Abd Rahim
author_sort Mustafa, Khalid Masood
title A simplified adaptive neuro-fuzzy inference system control strategy for PMSM drives
title_short A simplified adaptive neuro-fuzzy inference system control strategy for PMSM drives
title_full A simplified adaptive neuro-fuzzy inference system control strategy for PMSM drives
title_fullStr A simplified adaptive neuro-fuzzy inference system control strategy for PMSM drives
title_full_unstemmed A simplified adaptive neuro-fuzzy inference system control strategy for PMSM drives
title_sort simplified adaptive neuro-fuzzy inference system control strategy for pmsm drives
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/20495
_version_ 1643793089914994688
score 13.214268