基于强跟踪扩展卡尔曼滤波器的感应电机观测器设计

Observer Design of Induction Motor Based on Strong Tracking Extended Kalman Filter

感应电机无位置传感器矢量控制系统中所设计的传统扩展卡尔曼观测器,当模型精度较大误差或工作状态变化时,会影响状态变量估计值的精度。为解决这一问题,设计了一种带衰减因子的强跟踪扩展卡尔曼滤波器。通过理论分析及Matlab/Simulink环境下的仿真表明,改善后的强跟踪扩展卡尔曼滤波器相比传统的扩展卡尔曼滤波器,可以更有效地改善系统的辨识性能。

Model error and abrupt parameter changes will degrade the identification performance of traditional extended Kalman filter(EKF)which is used for position sensorless field oriented control(FOC)in induction motor(IM).A strong tracking extended Kalman filter(STEKF)with a fading factor was designed to solve this problem.Theoretical analysis and Simulation in Matlab/Simulink show that the novel strategy can improve the identification performance of EKF effectively compared to conventional EKF.