Comparison of Three Fuzzy Control Methods for Speed Regulation of Induction Motor

• Main Authors: Yi-Hong Tasi, 蔡宜宏
• Other Authors: Kuo-En Huang
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/69401816383960823250

碩士 === 國立高雄應用科技大學 === 電機工程系碩士班 === 93 === Three fuzzy-based control methods for speed regulation of induction motor using vector model are introduced in this thesis, and their control performances are compared through simulations and experiments. These three controllers are Fuzzy Self-Tuning Controller (FSTC), Fuzzy based Integral Sliding Model Controller (FISMC), and Intensive Fuzzy Grey Prediction Controller (IFGPC). The controller based on a single theory has some deficiencies for practical application. As different theories are combined, the-deficiencies can be improved. For example, the sliding mode causes high chattering phenomenon in the speed control using traditional Variable Structure Control (VSC), and it may also lead to system instability. By combining the fuzzy theory and the Sliding Mode Controller to become a Fuzzy Sliding Mode Controller (FSMC), the chattering can be mitigated; but the combination would cause a steady state error. For this reason, The integral controller is further added to FSMC become a Fuzzy-based Integral Sliding Mode Controller (FISMC) which can effectively improve the error in the steady state. The three controllers compared in this thesis are all integrated by different theories. They are simulated by Matlab and Simulink; then, a PC-based experimental system is used to test and verify the three kinds of controllers. Besides, three indices including Integral Absolute Error (IAE), Maximum Over shoot (MOS), and Setting Time (ST) are used to identify the performance differencies among the three controllers. Simulation and experiment results demonstrate that IFGPC gets the best IAE performance, but FISMC has the most excellent performance in resisting the disturbance caused by load torque change.