LPV模型的Kalman滤波器设计

Kalman filter based on LPV model for nonlinear system

针对线性变参数(LPV)模型,给出了一种改进Kalman滤波器设计方法,这种滤波方法可以根据系统LPV模型实时调整滤波状态方程矩阵系数,从而增强滤波算法对系统模型变化的跟踪性能,并提高滤波准确性。结合具体实例,通过仿真比较,较好地检验了该方法的有效性。

Based on the Linear-Parameter-Varying（LPV）model,a Kalman filter design technique for nonlinear system is stud-ied.This technique could update the matrixes in the Kalman filter equation according to the LPV model of a nonlinear sys-tem,so as to track the actual dynamic performance of the nonlinear system rapidly and improve the precision of filtering.This method is applied to a LPV systema,nd some simulation show this method is efficient.