@inproceedings{0d91de2c47804cd9aa9d5b0cfc5e3ef4,
title = "Robust Fault Detection for Micro Thrusters of Drag-Free Satellites",
abstract = "This paper proposes a robust fault detection framework for micro thrusters of drag-free satellites. Due to the small magnitude of fault signals and their susceptibility to interference and noise, the method is designed to have robust residual signals against disturbances and noise, while remaining sensitive to fault signals in order to achieve separation. This results in a framework where the robust fault detection problem is transformed into an observer design problem. By employing factorization methods, a unified solution to the multi-objective optimization problem can be obtained, leading to the optimal observer design and thus the optimal residual generation. The method has the advantages of low computational complexity and providing analytical results, rendering it exceptionally well-suited for on-board fault detection within space applications. The simulation results demonstrate the efficacy of the suggested approach when implemented in a drag-free spacecraft.",
keywords = "Drag-free system, robust fault detection, robustness, sensitivity, unified solution",
author = "Haoran Li and Xiaodong Shao and Qinglei Hu and Pengcheng Wang and Zhaohui Dang and Dong Zhao and Bin Song",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 China Automation Congress, CAC 2023 ; Conference date: 17-11-2023 Through 19-11-2023",
year = "2023",
doi = "10.1109/CAC59555.2023.10451153",
language = "英语",
series = "Proceedings - 2023 China Automation Congress, CAC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3153--3158",
booktitle = "Proceedings - 2023 China Automation Congress, CAC 2023",
address = "美国",
}