EMF BASED PREDICTIVE CURRENT CONTROL WITH MRAS SENSORLESS SPEED ESTIMATION FOR SVPWM FED INDUCTION MOTOR

In this research work, the speed control of a Sensorless three phase induction motor is carried out using Predictive Current control (PCC) technique and space vector Pulse Width Modulation (SVPWM). Implementation of hardware complexity of a motor drive can be minimized by estimating controls rather than measuring using sensors like Model Reference Adaptive Systems (MRAS) based on Back EMF estimation. The corresponding sensors are to be eliminated so that the system becomes more robust. The PCC is dependent on a closed loop observer, which is insensitive to parameter variations. This closed loop observer is used to calculate the required state variables over a wide frequency range. This methodology is more reliable even at very low frequency due to its insensitiveness nature against changes of motor parameters. Further, a SVPWM voltage source inverter is to be used to serve the induction motor rather than SPWM. The drive system with proposed adaptive mechanism is simulated by MATLAB/Simulink for the verification of the performance of the technique.