Design of Fuzzy Controller for Induction Motor

• Main Authors: JA-TI HSIAO, 蕭家丁
• Other Authors: PEI-HWA HUANG
• Format: Others
• Language: zh-TW
• Published: 2001
• Online Access: http://ndltd.ncl.edu.tw/handle/55904130111702000470

碩士 === 國立海洋大學 === 電機工程學系 === 89 === The main purpose of this thesis is to study the design of a fuzzy speed controller for the three-phase induction motor. The method of fuzzy theory is suitable for the analysis of multi-input multi-output (MIMO) nonlinear systems of which controllers are not easily implemented by classical methods. In the thesis, a preliminary set of control rules is constructed using Mamdani type of inference system and an input-output data set is generated from the preliminary set of control rules. Due to the compact and efficient form of linear representation of the Sugeno type fuzzy rules, a set of Sugeno type fuzzy control rules is then obtained from the input-output data set by employing the Adaptive Network-based Fuzzy Inference System (ANFIS). This set of Sugeno type fuzzy control rules, with the speed error and the change of speed error being input quantities, forms the speed controller for the three-phase induction motor. Moreover, the self-tuning mechanism is applied to improve the steady-state error. Through an experimental motor control system for the three-phase induction motor, the proposed fuzzy logic controller has been tested under several different operating conditions. The results illustrate that the proposed fuzzy controller has the features of robustness to load variation.