Study of the Flux Observer and its Optimizing Strategy for Induction Motor based on Extended Kalman Filter

摘要

A flux linkage estimation method for induction motor based on Extended Kalman Filter theory (EKF) is presented in this paper. In order to improve the accuracy of filtering, Genetic Algorithm (GA) is introduced to optimize the noise matrix, and also filtering parameters in EKF. Simulation results show that the flux observer with optimized filtering parameter has better estimation accuracy and dynamic performance at low speed.