[1]HAO Yong,JIA Denghui,LI Chenyang,et al.Event trigger-based prescribed-time tracking control of spacecraft[J].CAAI Transactions on Intelligent Systems,2024,19(3):661-669.[doi:10.11992/tis.202207017]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
19
Number of periods:
2024 3
Page number:
661-669
Column:
学术论文—智能系统
Public date:
2024-05-05
- Title:
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Event trigger-based prescribed-time tracking control of spacecraft
- Author(s):
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HAO Yong1; JIA Denghui1; LI Chenyang1; LI Jun1; 2
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1. College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China;
2. School of Astronautics, Harbin Institute of Technology, Harbin 150001, China
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- Keywords:
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limited communication; trajectory tracking; event trigger; prescribed time; backstepping control; dynamic gain; networked control system; dynamic parameter
- CLC:
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TP29;O231
- DOI:
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10.11992/tis.202207017
- Abstract:
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An event trigger-based prescribed-time control algorithm is proposed for trajectory tracking of a spacecraft under communication constraints. First, to endow the spacecraft with rapidity under different task scenarios, a prescribed-time trajectory-tracking control algorithm is designed, which finally achieves the prescribed-time convergence of the trajectory-tracking control system by combining the backstepping control theory and dynamic gain of the prescribed time. Second, as a typical networked control system, the spacecraft may be limited by its own communication capability in the process of task implementation, which will lead to communication congestion, time delay, packet loss, and so on. Therefore, an event-trigger algorithm is proposed based on the dynamic parameter. While assuring system control precision, the algorithm can avoid unnecessary communication consumption between the control center and the spacecraft itself to a certain extent. Compared with the traditional static event-trigger algorithm, the proposed dynamic parameter-based event-trigger algorithm has the advantage of reducing the communication frequency. Finally, the effectiveness of the proposed control algorithm is verified by theoretical analysis and simulation experiments.