This paper studies the distributed attitude synchronization control for flexible spacecrafts with the consideration of unmeasurable modal variable and partial loss of actuator effectiveness faults. The designed rotation matrix-based controller consisted of the basic pattern and the supplementary pattern. Based on a connected undirected graph, the original graph was established on the assumption of inexistent actuator fault, and the unavailable flexible dynamics was approximately described by neural networks (NNs). By using the minimum learning parameter (MLP) algorithm, the finite-time stability of the formation system was improved and the burdensome computation was lightened. A modified sliding mode surface (SMC) is presented which can avoid singularity and the tracking errors can be stabilized to the equilibrium within finite time. (C) 2021 Published by Elsevier Ltd on behalf of ISA.
机构:
Harbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 150001, Peoples R ChinaHarbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 150001, Peoples R China
Wang, Jue
Pan, Huihui
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Harbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 150001, Peoples R China
Harbin Inst Technol, Robot Innovat Ctr Co Ltd, Harbin 150001, Peoples R ChinaHarbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 150001, Peoples R China
Pan, Huihui
Zhang, Dun
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Univ Hong Kong, Dept Mech Engn, Hong Kong, Peoples R ChinaHarbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 150001, Peoples R China
机构:
Yonsei Univ, Observ & Astrodynam & Control Lab, Dept Astron, Seoul 03722, South KoreaYonsei Univ, Observ & Astrodynam & Control Lab, Dept Astron, Seoul 03722, South Korea
Xia, Kewei
Park, Sang-Young
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Yonsei Univ, Observ & Astrodynam & Control Lab, Dept Astron, Seoul 03722, South KoreaYonsei Univ, Observ & Astrodynam & Control Lab, Dept Astron, Seoul 03722, South Korea
机构:
Beijing Inst Control Engn, Beijing 100190, Peoples R China
Sci & Technol Space Intelligent Control Lab, Beijing 100190, Peoples R ChinaBeijing Inst Control Engn, Beijing 100190, Peoples R China
Tao, Jiawei
Zhang, Tao
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Tsinghua Univ, Beijing 100084, Peoples R ChinaBeijing Inst Control Engn, Beijing 100190, Peoples R China
Zhang, Tao
Liu, Qirui
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机构:
Beijing Inst Control Engn, Beijing 100190, Peoples R China
Sci & Technol Space Intelligent Control Lab, Beijing 100190, Peoples R ChinaBeijing Inst Control Engn, Beijing 100190, Peoples R China