Fault Diagnosis for Attitude Sensors based on Analytical Redundancy and EMD

被引：0
|
作者：
Niu, Rui [1 ,4 ]
Liu, Weixin [2 ]
Wang, Bo [2 ]
Li, Liliang [1 ,3 ,4 ]
Wang, Zhenhua [3 ]
机构：
[1] Shanghai Inst Spaceflight Control Technol, Dept Satellite, Shanghai 201109, Peoples R China
[2] Shanghai Inst Precis Measurement & Test, Shanghai 201109, Peoples R China
[3] Harbin Inst Technol, Sch Astronaut, Harbin 150001, Peoples R China
[4] Shanghai Key Lab Aerosp Intelligent Control Techn, Shanghai 201109, Peoples R China
来源：
PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019) | 2019年
基金：
中国国家自然科学基金;
关键词：
Attitude Sensor; Analytical Redundancy; Fault Diagnosis; Empirical Mode Decomposition (EMD);
D O I：
10.1109/ccdc.2019.8832854
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes a fault diagnosis approach for the satellite attitude determination subsystem based on analytical redundancy and empirical mode decomposition (EMD). Based on the analytical redundancy, a steady-state Kalman filter is proposed to detect the faults in the gyroscopes and the earth sensors. To further locate the fault source, EMI) algorithm is used to detect the fault in the gyroscopes. Final decision is based on the results provided these two methods. The proposed method combines the model-based approach and the signal processing technique. Simulation results illustrate the effectiveness of the proposed method.
引用
收藏
页码：5903 / 5907
页数：5
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