Speed sensorless control of induction motors using the extended Kalman filter

A rotor speed estimation method of an asynchronous motor, based on extended Kalman filter (EKF), is studied and is adopted in SVPWM slip frequency vector control system in this paper. The optimized Filter is got by choosing the proper initial value. The rotor position can be got by voltage vector controlled equations, without estimating the rotor flux and rotor position by EKF. The complicated iterative operations can be avoided. The simulation results show good performance of the speed estimation and the system is insensitive to the machine parameter variations and load disturbances. The rationality and advantage of proposed methods is testified though MATLAB simulation.