Adaptive Multivariable Super-Twisting-Based Lyapunov Redesign for RLV Attitude Control

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS(2024)

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摘要
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.
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关键词
Attitude control,Uncertainty,Convergence,Heuristic algorithms,Adaptive control,Upper bound,Lyapunov methods,Adaptive multivariable super-twisting,Lyapunov redesign (LR),reusable launch vehicle (RLV) attitude control,uncertain control coefficient
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