DESIGN AND IMPLEMENTATION OF SENSORLESS SPEED CONTROL FOR INDUCTION MOTOR DRIVE USING AN OPTIMIZED EXTENDED KALMAN FILTER

As an estimator, extended Kalman filtering (EKF) technique investigated to observe dq-axis rotor fluxes and rotor speed. For this purpose, appropriate mathematical model of induction machine is studied and discretized for real-time applications. The algorithm is computationally intensive, and the accuracy also depends on the model parameters used. Critical part of the design is to use correct initial values for the various covariance matrices. The accuracy of the state estimation is affected b y the amount of information that the stochastic filter can extract from its mathematical model and the measurement data processing.