Title :
On fault diagnosis of satellite attitude control system based on ARRs
Author :
Liu Wenjing ; Liu Chengrui
Author_Institution :
Beijing Inst. of Control Eng., Beijing, China
Abstract :
Based on the analytical redundancy relations (ARRs), the fault diagnosability analysis and fault diagnosis problem of satellite attitude control system (ACS) is researched in this paper. To make sure the completeness of the ARRs set, the ARRs generation method utilizing the rank operation is proposed. And then the multilevel fault diagnosability of satellite attitude control system is supplied including the component-level, the subsystem-level and the system-level. The ARRs optimization method based on the binary particle swarm optimization as well as the fault diagnosis method dependent on the incidence matrix is given in this paper. Finally, simulation results of the satellite ACS with typical configuration are presented to illustrate the efficiency of the proposed method.
Keywords :
artificial satellites; attitude control; fault diagnosis; matrix algebra; particle swarm optimisation; redundancy; ACS; ARR generation method; ARR optimization method; analytical redundancy relations; binary particle swarm optimization; component-level; fault diagnosis problem; incidence matrix; multilevel fault diagnosability analysis; rank operation utilization; satellite attitude control system; subsystem-level; system-level; Analytical models; Attitude control; Fault diagnosis; Optimization; Redundancy; Satellites; Sensors; Analytical redundancy relations; Fault diagnosability analysis; Fault diagnosis; Satellite attitude control system;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6895452
