Title :
Fault detection based on finite impulse response adaptive filter for satellite attitude control systems
Author :
Wang Tao ; Cheng Yuehua ; Jiang Bin ; Qi Ruiyun
Author_Institution :
Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fDate :
May 31 2014-June 2 2014
Abstract :
In this paper a finite impulse response (FIR) filter for online adaptive modeling of satellite attitude control systems is proposed, and a recursive least squares (RLS) algorithm is used to adjust the adaptive FIR filter coefficients for minimizing the output error between the monitored system and the FIR filter. The fault information can be obtained through the analysis of the adaptive FIR filter coefficients. This fault detection technique is applied to the satellite attitude control system, and evaluate the performance with failures. Simulation results demonstrate that the method is effective in the fault detection and simple to implement.
Keywords :
FIR filters; adaptive filters; attitude control; fault diagnosis; least squares approximations; RLS algorithm; adaptive FIR filter coefficient analysis; fault detection; fault information; finite impulse response adaptive filter; online adaptive modeling; output error minimization; recursive least squares algorithm; satellite attitude control systems; Adaptation models; Adaptive filters; Fault detection; Finite impulse response filters; Satellites; Signal to noise ratio; Vectors; FIR adaptive filter; Fault detection; RLS algorithm; Satellite attitude control;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852146
