Speed Sensorless Vector Control of Induction Motor Based on Reduced Order Extended Kalman Filter

摘要

A speed sensorless vector control system of induction motor with estimated rotor speed and rotor flux using a new reduced-order extended Kalman filter is proposed. With this method, two rotor flux components are selected as the state variables, an the rotor speed as an estimated parameter is regarded as an augmented state variable. The algorithm with reduced order decreases the computational complexity and makes the proposed estimator feasible to be implemented in real time. The simulation results show high accuracy of the estimation algorithm and good performance of speed control, and verify the usefulness of the proposed algorithm.