Asynchronous Induction Motor Speed Control Using Takagi-Sugeno Fuzzy Logic

Induction motors are widely used electrical machine in different kind of industry due to its simplicity, ruggedness, versatility, reliability, low cost, quiet operation, less maintenance, high performance and longevity. This paper presents Takagi-Sugeno (T-S) fuzzy logic based speed control of an induction motor. Constant voltage and frequency ratio-based control or scaler control is used to maintain its speed at desired value under load change. Since fuzzy logic includes human like idea in its algorithm, it can smoothly control a range of operating point of the induction motor whereas conventional PI control gives poor performance over wide range of variation. This work also presents a comparison between conventional PI control and fuzzy logic control for induction motor (IM) drive considering wide variation of load. Matlab Simulink platform is used to design the Takagi-Sugeno (T-S) fuzzy model. Control properties of induction motor are derived from its d-q based mathematical model. The result from disturbance analysis under sudden load change shows superior dynamic performance of Fuzzy logic controller over conventional PI controller. It provides an alternative control to ensure high-performance industrial drive over the conventional PI controller.