Speed estimated for vector control of induction motor using reduced-order extended Kalman filter

This paper aims to study and develop a high performance vector control speed sensorless induction motor viable speed system. An Intel 8098 CPU and a high speed digital signal processing TMS320C30 chip are employed to construct a speed sensorless induction motor viable speed system. In order to get a high dynamic and static characteristic, two sets of error models are commutated to improve the accuracy of identification. Simulation and experiment results demonstrate that the reduced-order Kalman filter algorithm is both correct and efficient.