Abstract Attitude controller design for reusable launch vehicles during reentry phase via compound adaptive fuzzy H-infinity control
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Attitude controller design for reusable launch vehicles during reentry phase via compound adaptive fuzzy H-infinity control

机译：复合自适应模糊H∞控制在再入阶段可重复使用运载火箭的姿态控制器设计。

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AbstractIn this paper, the attitude control problem of reusable launch vehicles (RLVs) during reentry phase is investigated by using compound adaptive fuzzy H-infinity control (CAFHC) strategy in the presence of parameter uncertainties and external disturbances. Firstly, the control-oriented attitude model is established by a model transformation based on the six-degree-of-freedom (6-DoF) dynamic model of the RLV. Secondly, a novel attitude control scheme is developed and the control strategy consists of two parts to achieve a stable and accurate attitude tracking during reentry flight process. An attitude tracking controller is designed utilizing adaptive fuzzy H-infinity control approach combined with an identification model to improve the attitude tracking performance in the interior of fuzzy approximation region of attitude angle. Next, an attitude stabilization controller based on boundary adaptive technique is employed to assure the robustness of the closed-loop system in the exterior of fuzzy approximation region of attitude angle. Furthermore, the stability of the closed-loop system is guaranteed within the framework of Lyapunov theory and the attitude tracking error converges to a small neighborhood around origin. Finally, the simulation results are presented to demonstrate that the effectiveness of the proposed control scheme for reentry RLV, and its tracking performance performs better than the other control method.
机译： 摘要 本文通过复合自适应模糊H无限研究了重入阶段可重复使用运载火箭的姿态控制问题。参数不确定性和外部干扰的情况下控制（CAFHC）策略。首先，通过基于RLV的六自由度（6-DoF）动态模型的模型转换，建立了面向控制的姿态模型。其次，提出了一种新颖的姿态控制方案，该控制策略包括两部分，以实现再入飞行过程中稳定，准确的姿态跟踪。利用自适应模糊H-∞控制方法结合识别模型设计了姿态跟踪控制器，以提高姿态角模糊近似区域内部的姿态跟踪性能。接下来，采用基于边界自适应技术的姿态稳定控制器，以确保闭环系统在姿态角模糊近似区域外部的鲁棒性。此外，在李雅普诺夫理论的框架内保证了闭环系统的稳定性，并且姿态跟踪误差收敛到原点附近的一个小邻域。最后，仿真结果表明，所提出的控制方案对再入RLV控制是有效的，其跟踪性能优于其他控制方法。 < / ce：抽象>

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