Model Reference Adaptive System Based Sensor less Vector Control of Induction Motor Using Fuzzy PID Controller

In this paper, parameter variation of induction motor is estimated using sensor less vector control. Among different adaptive control of induction motor drive, the model reference adaptive system (MRAS) is one of the promising methods that has been used in this paper. MRAS model is important because it can be used over a wide range of speed variation. The error between adjustable and reference model is calculated in the stationary reference frame. The estimated speed is then calculated by an adaptive mechanism from measured terminal voltage and current of induction motor. In this paper an adaptive mechanism with fuzzy logic controller and performance of MRAS with PID controller implemented in MATLAB/Simulink environment. These schemes are applied to induction motor for sensor less speed control.