基于复杂干扰估计的高速NSV鲁棒自适应模糊Terminal滑模控制

Robust Adaptive Fuzzy Terminal Sliding-Mode Control for High Dynamic Near Space Vehicle Based on Estimation of Complex Disturbance

针对近空间飞行器大包络高动态飞行运动特性,建立了包含复杂干扰的有效动力学系统用以描述运动过程,对系统中由于飞行物理环境产生的复杂干扰,设计了有效估计的非线性干扰观测器,有效保证了观测误差的收敛性能,采用模糊系统逼近由气动、结构变化产生的系统与增益函数不确定项,基于此设计了飞行控制系统的鲁棒自适应模糊Terminal滑模控制方案,利用Lyapunov稳定性原理证明了闭环系统的鲁棒稳定性,控制器有效抑制了不确定项与复杂干扰对系统的影响,实现了NSV复杂环境下高速运动的鲁棒自适应自主控制,仿真研究证明了控制方法的正确性与有效性。

An effective dynamic system is established for NSV in large flight envelop high dynamic movement background. Effective nonlinear disturbance observer is developed to estimate the complex disturbance which caused by flight environment. This observer effectively assure observation error convergent. Fuzzy systems are applied to approach the uncertainties of system i＇unction and control gain function, then flight control system of NSV can be designed as fuzzy adaptive robust terminal sliding mode control based on disturbance estimation and fuzzy approaching. Robust stability is proved by using Lyapunov stability principle. The control law effectively restrain influence of disturbance and uncertainty. Simulation demonstrates the rationality and validity of control method.