基于比例积分强跟踪滤波器的故障估计  

Fault Estimation Based on PI Strong Tracking Filter

作　　者：王浩[1] 黄献龙[1] 

机构地区：[1]北京控制工程研究所,北京100190

出　　处：《空间控制技术与应用》2009年第3期34-38,48,共6页Aerospace Control and Application

摘　　要：研究了线性系统执行机构和敏感器的故障估计方法.基于比例积分观测器具有同时估计系统状态和故障大小的能力,将比例积分观测器和强跟踪滤波器相结合,组成比例积分强跟踪滤波器来估计执行机构和敏感器故障,这种方法增强了对突变故障的快速跟踪能力.在系统发生故障时,比例积分强跟踪滤波器不仅能够快速检测、定位故障,而且还能估计出故障的大小.以某卫星为例,将此方法应用于推力器和陀螺的故障估计,并通过仿真验证了这种方法的有效性.A method for estimating actuator and sensor faults in linear dynamical systems is presented in this paper. The method is based on the use of proportional integral （PI） observer which can simultaneously estimate the actuator and sensor faults as well as the states of the system. In this paper, we use PI observer incorporated with strong tracking filter （STF） to estimate the states and faults. When faults arise in the control systems, PI Strong Tracking filter can detect, locate and estimate the faults at the same time. This method is used to estimate the thrusters and gyroscopes faults of a satellite. The simulation results demonstrate the effectiveness of this approach.

关 键 词：比例积分观测器 强跟踪滤波器 故障估计 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]