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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 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) |
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://dspace.unimap.edu.my/123456789/20495 |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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132-91554_A Simplified Adaptive Neuro-Fuzzy Inference System Control Strategy for PMSM Drives.pdf | Access is limited to UniMAP community | 135.81 kB | Adobe PDF | View/Open |
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