Application of Fuzzy Based Integral Sliding Mode Controller to Induction Motor Speed Control

• Main Authors: Yulung Lien, 連郁龍
• Other Authors: K.E. Huang
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/76742519906780763595

碩士 === 國立高雄應用科技大學 === 電機工程系碩士班 === 92 === The sliding mode causes high speed chattering phenomenon in the traditional Variable Structure Control （VSC）, and it may also produce unwanted high frequency oscillation in the system and even create instability. By applying fuzzy theory to sliding mode controller to develop Fuzzy Sliding Mode Controller （FSMC）, the chattering can be improved; but, it would cause the steady state error. For this reason, this paper proposes Fuzzy Based Integral Sliding Mode Controller （FISMC）. The integral controller can effectively improve error in the steady state; the sliding mode controller is not sensitive to system parameter variation and noise, thus it has good robust characteristic in control. The fuzzy logic controller decreases the difficulty in system design, control gain can be regulated by the distance between state point and sliding surface. In this way, the state point can reach the sliding surface rapidly, so the reduced overshoot. Therefore, the transient response of the system can be improved. This method is first simulated by Matlab and Simulink, then a PC-based experimental scheme is used to test and verify this method. Simulation and experimental results demonstrate that the proposed scheme can achieve accurate speed control of an induction motor, and the system is robust against parameter variations and disturbances. In order to identify the advantage relative to the other control algorithms, a traditional PID controller is also tested. The speed responses to different types of changes in the input command and the load torque illustrate that the performances of the fuzzy based integral sliding mode controller are better than the PID type controller.