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 | |
2019 | |
会议日期 | July 27-30, 2019 |
会议地点 | Guangzhou, China |
关键词 | Fault diagnosis Extended Kalman fiiter Satellite Altitude control system |
页码 | 4789-4794 |
英文摘要 | This 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. |
源文献作者 | 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) |
产权排序 | 1 |
会议录 | Proceedings of the 38th Chinese Control Conference, CCC 2019 |
会议录出版者 | IEEE Computer Society |
会议录出版地 | New York |
语种 | 英语 |
ISSN号 | 1934-1768 |
ISBN号 | 978-988-15639-7-2 |
内容类型 | 会议论文 |
源URL | [http://ir.sia.cn/handle/173321/25878] |
专题 | 沈阳自动化研究所_空间自动化技术研究室 |
通讯作者 | Gao S(高升) |
作者单位 | 1.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 |
推荐引用方式 GB/T 7714 | Gao S,Zhang ZW,Zhang W,et al. Fault diagnosis for satellite attitude control system with using extended kalman filter[C]. 见:. Guangzhou, China. July 27-30, 2019. |
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