空天飞行器的鲁棒自适应模糊轨迹线性化控制

提出了鲁棒自适应模糊轨迹线性化控制(RAFTLC)方法并应用于空天飞行器(ASV)飞行控制系统设计.根据系统的先验知识,设计出标称模糊系统对系统的未知干扰和不确定进行估计,并通过鲁棒自适应控制项来克服标称模糊系统逼近误差和权值误差的影响.标称模糊系统逼近误差和权值误差的界在线调整.采用Lyapunov方法证明了闭环系统的所有信号一致最终有界.最后利用提出的控制方案设计了ASV飞行控制系统,并在高超声速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 fuzzy trajectory linearization control of an aerospace vehicle

This paper presents a robust adaptive fuzzy trajectory linearization control(RAFTLC) method and its application to an aero-space vehicle(ASV) flight control system.Based on the system's prior knowledge,the nominal fuzzy system is designed to estimate the unknown disturbances and uncertainties.A robust adaptive item is used to overcome the approximate error and weights error of the nominal fuzzy system.The bounds of the approximate error and weights error are adjusted on line.Uniform ultimate boundedness of all the signals of the composite closed-loop system is proved using Lyapunov theory.Finally,the flight control system of an ASV is designed based on the proposed method.Simulation results demonstrate the effectiveness and robustness of the control scheme.