Fuzzy Modeling for Induction Motor

• Main Authors: Chang-Lung Hsueh, 薛昌龍
• Other Authors: Pei-Hwa Huang
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/11923662149901598742

碩士 === 國立臺灣海洋大學 === 電機工程學系 === 92 === The main purpose of this thesis is to study the fuzzy modeling for the three-phase induction motor. Two Sugeno type fuzzy induction motor are obtained from input-output data sets which are generated from both the differential equation model and the real three-phase induction motor by employing the adaptive network-based fuzzy inference system. In order to test and verify the fuzzy model can be expressed the real induction motor. We control the speed and position of the real induction motor, the classic differential equation model, and fuzzy induction motor model using constant V/f controller, fuzzy logic controller, and self-tuning mechanism. In the end, we compare with output response of the three models. Through an experimental motor speed and location control system for the three-phase fuzzy induction motor model, the constructed fuzzy induction motor model is to test and verify the feasibility of replacing the real induction motor. Keywords: fuzzy induction motor model, Adaptive-Network-based Fuzzy Inference System(ANFIS), constant V/f controller, fuzzy logic controller, parameters self-tuning mechanism.