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Event-triggered-based adaptive super-twisting attitude tracking for RLV in reentry phase
Journal of the Franklin Institute ( IF 4.1 ) Pub Date : 2020-10-08 , DOI: 10.1016/j.jfranklin.2020.09.041
Zhiyu Li , Siyuan Wu , Bailing Tian , Jie Cui , Qun Zong , Helong Liu

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.



中文翻译:

再入阶段基于事件触发的RLV自适应超扭曲姿态跟踪

通过结合自适应和超扭曲技术,提出了一种事件触发控制方案,用于可重复使用运载火箭的姿态跟踪。首先,针对外部干扰未知的多变量二阶非线性系统,设计了一种自适应事件触发超扭曲控制(AETSTC)策略,该策略可以针对未知外部干扰自适应地调整控制增益,从而节省计算成本或有限的网络资源,同时确保所需的控制性能。然后,基于Lyapunov稳定性理论,推导了所提出方法下闭环系统稳定性的形式证明,并且还保证了触发序列的无芝诺执行。此外,所提出的AETSTC策略被应用于RLV的姿态控制,而无需任何外部干扰范围的知识。最后,通过对RLV姿态跟踪的仿真结果,说明了该算法的有效性和优越性。

更新日期:2020-11-15
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