Title | ||
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Event-triggered-based adaptive super-twisting attitude tracking for RLV in reentry phase |
Abstract | ||
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An event-triggered control scheme is proposed for attitude tracking of Reusable Launch Vehicle (RLV) by combining adaptive and super-twisting techniques. Firstly, an adaptive event-triggered super-twisting control (AETSTC) strategy for multi-variable second-order nonlinear systems with unknown external disturbances is designed, which can adaptively adjust the control gains with respect to the unknown external disturbances and save computational cost or limited network resources while ensuring the desired control performance. Then, a formal proof of the stability of the closed-loop systems under the proposed method is derived based on Lyapunov stability theory, and the Zeno-free execution of triggering sequences is also guaranteed. Furthermore, the proposed AETSTC strategy is applied on attitude control of RLV without any knowledge of the bounds of external disturbances. Finally, simulation results on attitude tracking of RLV are provided to illustrate the efficiency and advantage of the developed algorithm. |
Year | DOI | Venue |
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2020 | 10.1016/j.jfranklin.2020.09.041 | Journal of the Franklin Institute |
DocType | Volume | Issue |
Journal | 357 | 18 |
ISSN | Citations | PageRank |
0016-0032 | 1 | 0.37 |
References | Authors | |
0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhiyu Li | 1 | 1 | 0.37 |
Siyuan Wu | 2 | 14 | 4.99 |
Bailing Tian | 3 | 163 | 14.01 |
Jie Cui | 4 | 16 | 8.88 |
Qun Zong | 5 | 28 | 7.92 |
Helong Liu | 6 | 1 | 0.37 |