Adaptive Multivariable Super-Twisting-Based Lyapunov Redesign for RLV Attitude Control
针对可重复使用运载器姿态控制中的未知扰动和不确定控制系数问题，提出一种融合李雅普诺夫重构和自适应超螺旋方法的连续自适应控制算法，实现有限时间姿态跟踪且无需精确知道不确定性上界。
In this article, a novel adaptive multivariable super-twisting-based Lyapunov redesign (AMSTLR) algorithm is proposed for reusable launch vehicle (RLV) attitude control system subject to unknown disturbance and uncertain control coefficient. In the method, a continuous adaptive control algorithm integrating Lyapunov redesign (LR) method and adaptive super-twisting (AST) method is provided. The proposed method enables the finite-time attitude tracking of RLV, without requiring precise knowledge of the upper bound of the uncertainties. Additionally, a rigorous stability analysis of the presented algorithm is provided utilizing Lyapunov technique. Finally, simulation results are provided to demonstrate the effectiveness of the proposed control scheme.