基于T-S模糊系统的空天飞行器鲁棒自适应轨迹线性化控制

 基于T-S模糊系统提出了鲁棒自适应轨迹线性化控制(RATLC)方法。利用T-S模糊系统逼近未知干扰和不确定性因素，并采用Lyapunov方法设计了鲁棒自适应控制律。不论系统状态的维数和用于逼近不确定的模糊系统规则数为多少，整个系统仅有两个参数在线调整。理论分析证明了闭环系统所有信号一致最终有界。应用提出的控制方案设计了空天飞行器(ASV)飞行控制系统，并在高超声速飞行条件下进行了仿真验证，仿真结果表明了控制方案的有效性和鲁棒性。

Robust Adaptive Trajectory Linearization Control of Aerospace Vehicle Based on T-S Fuzzy System

This paper presents a robust adaptive trajectory linearization control(RATLC)based on T-S fuzzy system.The unknown disturbances and uncertainties are estimated by T-S fuzzy system,and a robust adaptive control law is designed using Lyapunov theory.Whether the dimensions of the system states and the rules of the fuzzy system are large or little,there are only two parameters adjusting on line.The uniform ultimate boundedness of all signals of the composite closed-loop system is proved by theory analysis.Finally,the flight control system of an aerospace vehicle(ASV)is designed based on the proposed method.Simulation results demonstrate the effectiveness and robustness of the control scheme.