Kalman filter based on LPV model for nonlinear system

doi:10.3778/j.issn.1002-8331.2010.35.042

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (35): 145-147.DOI: 10.3778/j.issn.1002-8331.2010.35.042

• 数据库、信号与信息处理 • Previous Articles Next Articles

Kalman filter based on LPV model for nonlinear system

HU Wei-hong¹，LI Shu-qing²，LIU Yi-nan2，HU Bo³

1.College of Energy and Power Engineering，Nanjing University of Aeronautics and Astronautics，Nanjing 210016，China
2.Staff Room 303，The Second Artillery Engineering College，Xi’an 710025，China
3.The Second Artillery Engineering Design Institute，Beijing 100011，China

Received:2010-06-04 Revised:2010-08-09 Online:2010-12-11 Published:2010-12-11
Contact: HU Wei-hong

LPV模型的Kalman滤波器设计

胡卫红¹，李述清²，刘毅男²，胡波³

1.南京航空航天大学能源与动力学院，南京 210016
2.第二炮兵工程学院 303教研室，西安 710025
3.第二炮兵工程设计研究院，北京 100011

通讯作者: 胡卫红

Abstract

Abstract: Based on the Linear-Parameter-Varying（LPV） model，a Kalman filter design technique for nonlinear system is studied.This technique could update the matrixes in the Kalman filter equation according to the LPV model of a nonlinear system，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 system，and some simulation show this method is efficient.

Key words: nonlinear system, Kalman filter, Linear-Parameter-Varying（LPV） model

摘要： 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。

关键词: 非线性系统, Kalman滤波器, 线性变参数模型

CLC Number:

TP391

HU Wei-hong¹，LI Shu-qing²，LIU Yi-nan2，HU Bo³. Kalman filter based on LPV model for nonlinear system[J]. Computer Engineering and Applications, 2010, 46(35): 145-147.

胡卫红¹，李述清²，刘毅男²，胡波³. LPV模型的Kalman滤波器设计[J]. 计算机工程与应用, 2010, 46(35): 145-147.

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Kalman filter based on LPV model for nonlinear system

LPV模型的Kalman滤波器设计

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