摘要
本文利用一种带有多重次优渐消因子的卡尔曼滤波方法,对以磁链为状态变量的异步电动机的双线性非线性的数学模型中的状态及参数进行了估计.仿真结果表明,这种方法具有很好的抗发散性,而且状态及参数估计精度也很高,是一种行之有效的异步电动机参数的动态辨识方法.
In this paper, the multi-suboptimal fading extented Kalman filtering to estimate the states and parameters of a bilinear and nonlinear model of induction motors is used, the flux being state variables. The results of simulation is shown that this method has high accuracy and good convergence, and it is an effective parameter identification method of induction motors.
关键词
异步电动机
动态辨识
参数
Asynchronous machine suboptimal fading
Kalman filtering
parameter estimation
