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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/dspace/handle/123456789/20495

Title: A simplified adaptive neuro-fuzzy inference system control strategy for PMSM drives
Authors: Mustafa, Khalid Masood
Hew, Wooi Ping, Prof. Dr.
Nasrudin, Abd Rahim
???metadata.dc.contributor.url???: mkm_imn@hotmail.com
wphew@um.edu.my
nasrudin@um.edu.my
Keywords: Adaptive Neuro-Fuzzy Inference System (ANFIS);Permanent Magnet Synchronous Motor (PMSM);Membership functions
Issue Date: 27-Feb-2012
Publisher: Universiti Malaysia Perlis (UniMAP)
???metadata.dc.publisher.department???: School of Mechatronic Engineering
Series/Report no.: Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012)
Abstract: 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.
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.
URI: http://hdl.handle.net/123456789/20495
Appears in Collections:Conference Papers

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