Research on improved integrated FDD/FTC with effectiveness factors  

作　　者：Xueqin Chen Yuhai Ma Feng Wang Yunhai Geng 

机构地区：[1]Research Center of Satellite Technology,Harbin Institute of Technology,Harbin 150080,P.R.China

出　　处：《Journal of Systems Engineering and Electronics》2012年第5期768-774,共7页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China (60904051);China Postdoctoral Science Foundation(20090450126);the Doctoral New Teacher Fund of Ministry of Education of China (20092302120067);the Open Fund for National Defense Key Subject Laboratory of Small Spacecraft Technology (HIT.KLOF.2009096)

摘　　要：This paper investigates the integrated fault detection and diagnosis（FDD） with fault tolerant control（FTC） method of the control system with recoverable faults.Firstly,a quasi-linear parameter-varying（QLPV） model is set up,in which effectiveness factors are modeled as time-varying parameters to quantify actuators and sensors faults.Based on the certainty equivalency principle,replacing the real time states in the nonlinear term of the QLPV model with the estimated states,the parameters and states can be estimated by a two-stage Kalman filtering algorithm.Then,a polynomial eigenstructure assignment（PEA） controller with time-varying parameters and states is designed to guarantee the performance of the system with recoverable faults.Finally,mathematical simulation is performed to validate the solution in a satellite closed-loop attitude control system,and simulation results show that the solution is fast and effective for on-orbit real-time computation.This paper investigates the integrated fault detection and diagnosis（FDD） with fault tolerant control（FTC） method of the control system with recoverable faults.Firstly,a quasi-linear parameter-varying（QLPV） model is set up,in which effectiveness factors are modeled as time-varying parameters to quantify actuators and sensors faults.Based on the certainty equivalency principle,replacing the real time states in the nonlinear term of the QLPV model with the estimated states,the parameters and states can be estimated by a two-stage Kalman filtering algorithm.Then,a polynomial eigenstructure assignment（PEA） controller with time-varying parameters and states is designed to guarantee the performance of the system with recoverable faults.Finally,mathematical simulation is performed to validate the solution in a satellite closed-loop attitude control system,and simulation results show that the solution is fast and effective for on-orbit real-time computation.

关 键 词：fault detection and diagnosis fault tolerant control Kalman filter SATELLITE attitude control 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程] TN929.5[自动化与计算机技术—控制科学与工程]