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Fault diagnosis for satellite attitude control system with using extended kalman filter
Gao S(高升)1,2; Zhang ZW(张赵威)1,2; Zhang W(张伟)1,2; He X(何旭)1,2; Lu XD(卢晓东)1,2
Department空间自动化技术研究室
Conference Name38th Chinese Control Conference, CCC 2019
Conference DateJuly 27-30, 2019
Conference PlaceGuangzhou, China
Author of SourceChinese Association of Automation (CAA) ; Guangdong University of Technology ; Systems Engineering Society of China (SESC) ; Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA)
Source PublicationProceedings of the 38th Chinese Control Conference, CCC 2019
PublisherIEEE Computer Society
Publication PlaceNew York
2019
Pages4789-4794
Indexed ByEI
EI Accession number20194507629289
Contribution Rank1
ISSN1934-1768
ISBN978-988-15639-7-2
KeywordFault diagnosis Extended Kalman fiiter Satellite Altitude control system
AbstractThis paper investigates the fault diagnosis problem for satellite attitude control system with using extended Kalman filter (EKF). A fault diagnosis scheme with using two EKFs based on analytical redundancy is proposed for satellite system fault diagnosis. First, the kinematics model and dynamics model of satellite attitude control is given. Then, two extended Kalman filters is designed to estimate the attitude information. Furthermore, with using the attitude estimates provided by the EKFs, a fault detection and isolation scheme is designed to diagnose faults of the system. The main contribution of this paper lies in that the proposed method not only considers the faults in the sensors (gyroscopes and star sensor) but also can deal with those in the actuators. Finally, numerical simulations of a satellite attitude control system are performed to illustrate the effectiveness of the proposed fault diagnosis scheme.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/25878
Collection空间自动化技术研究室
Affiliation1.State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang 110016, China;
2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy OfSciences, Shenyang 110016, China
Recommended Citation
GB/T 7714
Gao S,Zhang ZW,Zhang W,et al. Fault diagnosis for satellite attitude control system with using extended kalman filter[C]//Chinese Association of Automation (CAA), Guangdong University of Technology, Systems Engineering Society of China (SESC), Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA). New York:IEEE Computer Society,2019:4789-4794.
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