| dc.contributor.author | Mustafa, Khalid Masood | |
| dc.contributor.author | Hew, Wooi Ping, Prof. Dr. | |
| dc.contributor.author | Nasrudin, Abd Rahim | |
| dc.date.accessioned | 2012-07-19T13:25:59Z | |
| dc.date.available | 2012-07-19T13:25:59Z | |
| dc.date.issued | 2012-02-27 | |
| dc.identifier.uri | http://dspace.unimap.edu.my/123456789/20495 | |
| dc.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. | en_US |
| dc.description.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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
| dc.relation.ispartofseries | Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012) | en_US |
| dc.subject | Adaptive Neuro-Fuzzy Inference System (ANFIS) | en_US |
| dc.subject | Permanent Magnet Synchronous Motor (PMSM) | en_US |
| dc.subject | Membership functions | en_US |
| dc.title | A simplified adaptive neuro-fuzzy inference system control strategy for PMSM drives | en_US |
| dc.type | Working Paper | en_US |
| dc.publisher.department | School of Mechatronic Engineering | en_US |
| dc.contributor.url | mkm_imn@hotmail.com | en_US |
| dc.contributor.url | wphew@um.edu.my | en_US |
| dc.contributor.url | nasrudin@um.edu.my | en_US |
