Fuzzy modeling for position control of induction motor

Authors:
Ping-Yin Chen;Pei-Hwa Huang;Chang-Lung Hsueh;Jenn-Jong Shieh
Affiliations:
Department of Electrical Engineering, National Taiwan Ocean University, Keelung, Taiwan;Department of Electrical Engineering, National Taiwan Ocean University, Keelung, Taiwan;Department of Electrical Engineering, National Taiwan Ocean University, Keelung, Taiwan;Dept. of Electrical Engineering, Ta Hwa Institute of Technology, Hsinchu, Taiwan
Venue:
CONTROL'05 Proceedings of the 2005 WSEAS international conference on Dynamical systems and control
Year:
2005

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Abstract

This paper is to study the fuzzy modeling for position control of the induction motor. According to Adaptive Network-based Fuzzy Inference System (ANFIS), Sugeno-type fuzzy models for the induction motor are constructed from input-output data sets, which are generated both from the differential-equation model and from a three-phase induction motor. For the purpose of comparison, the fuzzy position controller is to be applied on the real motor, the differential-equation model, and the constructed fuzzy model. An experimental position control system for the induction motor is employed to verify the performance of the constructed fuzzy model.