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dc.contributor.authorMustafa, Khalid Masood-
dc.contributor.authorHew, Wooi Ping, Prof. Dr.-
dc.contributor.authorNasrudin, Abd Rahim-
dc.date.accessioned2012-07-19T13:25:59Z-
dc.date.available2012-07-19T13:25:59Z-
dc.date.issued2012-02-27-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/20495-
dc.descriptionInternational 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.abstractIn 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.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.relation.ispartofseriesProceedings of the International Conference on Man-Machine Systems (ICoMMS 2012)en_US
dc.subjectAdaptive Neuro-Fuzzy Inference System (ANFIS)en_US
dc.subjectPermanent Magnet Synchronous Motor (PMSM)en_US
dc.subjectMembership functionsen_US
dc.titleA simplified adaptive neuro-fuzzy inference system control strategy for PMSM drivesen_US
dc.typeWorking Paperen_US
dc.publisher.departmentSchool of Mechatronic Engineeringen_US
dc.contributor.urlmkm_imn@hotmail.comen_US
dc.contributor.urlwphew@um.edu.myen_US
dc.contributor.urlnasrudin@um.edu.myen_US
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