摘要：提出一种基于指数渐消因子的自适应EKF算法的感应电机转速观测器。根据感应电机的电流跟踪误差自适应调整指数渐消因子，从而减小感应电机模型误差和外界干扰的影响，使转速观测更精确、快速。基于指数渐消因子的自适应EKF算法建立了感应电机无速度传感器矢量控制系统的Matlab仿真模型。仿真结果表明，该转速观测器能有效的观测转速，同时具有良好的动、静态性能。相比传统的EKF转速观测器，具有更好的抗干扰性和收敛特性。
关键词：感应电机；扩展卡尔曼滤波；自适应滤波；渐消因子

Abstract:A speed observer of induction motor was proposed based on exponential fading factor adaptive extended kalman filter (EAEKF).According to the current tracking error of induction motor，adaptive adjust exponential fading factor，thereby reduced the induction motor model errors and external disturbances,so the estimation of speed is more precise and rapid.Finally，based on the algorithm of exponential fading factor adaptive EKF，a Matlab simulation model for induction motor speed sensorless vector control system was established.The simulation results show that the speed observer can effectively estimate the motor speed.In addition，the speed observer has better dynamic and static performance.Compared with the traditional EKF observer，the new observer has better anti-interference and convergence property.
Key Words:Induction motor；EKF；Adaptive filter；Fading factor