近空间飞行器纵向抗干扰轨迹控制研究

针对近空间飞行器( nearspace vehicle，NSV) 在高超音速飞行时，气动参数变化剧烈且容易受到外界干扰的特点，研究了NSV 纵向轨迹系统的干扰问题，提出了鲁棒自适应动态面的回馈递推控制方法。首先对高度非线性、高度复杂的NSV 的纵向运动的模型进行坐标变换，采用输入－输出反馈线性化方法，将其转化为仿射非线性模型; 然后通过一阶低通滤波器对控制器设计中的虚拟控制律进行估计，从而避免了对其求导带来的计算膨胀问题; 再结合神经网络逼近理论以及虚拟控制器中的鲁棒项，一起消除近空间飞行器的纵向系统中存在的参数摄动不确定和外界干扰。最后通过稳定性分析，表明了该方法在降低系统控制器复杂性的同时仍具有很好的鲁棒性。

Research on Disturbance in Nearspace Vehicle Longitudinal Trajectory System

Considering the severe changes of aero － dynamic parameters and susceptibility on the external disturbances of nearspace vehicle( NSV) ，a backstepping control strategy with robust adaptive dynamic surface is proposed in this paper for the disturbance problem in the NSVlongitudinal trajectory system during the hypersonic process． Firstly，the complex nonlinear longitudinal dynamic model is transformed intononlinear non － affine model by using the input － output feedback linearization method． Then，the“computer explosion“in the computationprocedures for derivatives is avoided with the estimation of the virtual control law in one － order low pass filter． The robustness item in the virtualcontroller combined with approximation capability of neural network is used to eliminate the parameter uncertainties and external disturbancesin NSV． The simulation results show the improved robustness in this method with reduced complexity．