Title :
The research of fault-detection measure in the redundant system with inertial measurement unit on the satellite
Author :
Shao, Xiaowei ; Shao, Changsheng
Author_Institution :
Dept. of Control Eng., Harbin Inst. of Technol., China
Abstract :
This paper presents a study of fault-detection measurement in redundant systems with an inertial measurement unit on the satellite. In order to deal with system noise, we use a Kalman filter and we employ backpropagation neural networks for fault detection. The simulation results of our measurement compare favourably with those of the SPRT and direct-compare approaches.
Keywords :
Kalman filters; backpropagation; fault diagnosis; inertial systems; redundancy; Kalman filter; backpropagation neural networks; fault detection; inertial measurement unit; redundant system; satellite; system noise characteristics; Automation; Intelligent control; Measurement units; Neural networks; Noise measurement; Satellites;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1020852
