鲁棒融合Kalman滤波在异步电机转速控制中的应用

Application of Robust Fusion Kalman filter in speed control of asynchronous motor

协方差交叉融合算法是新兴的一种分布式融合算法,该算法避免了局部互协方差或相关阵的计算,算法简单,故得到了广泛的应用。以异步电机转速控制为应用背景,进行协方差交叉融合Kalman滤波算法的应用研究。相比已有的单传感器状态估计,所提出的协方差交叉融合状态估计算法估计精度更高。仿真实例分析说明了所提出的算法的有效性。

Covariance intersection fusion algorithm is a new distributed fusion algorithm.This algorithm avoids the calculation of local cross covariance or correlation matrix.The algorithm is simple,so it has been widely used.Taking the speed control of induction motor as the application background,the application of covariance intersection fusion Kalman filtering algorithm is studied.Compared with the existing single sensor state estimation,the proposed covariance intersection fusion state estimation algorithm has higher estimation accuracy.Simulation results show the effectiveness of the proposed algorithm.