基于自适应反步法的非线性导弹制导/控制系统综合设计

利用基于RBF神经网络的自适应反步法结合滑模控制对非线性导弹的制导/控制系统进行了综合设计.首先把导弹的制导/控制系统转化为严反馈型,然后利用基于在线调节的神经网络反步法克服非线性系统的非匹配不确定性,引入的滑模控制项使跟踪误差趋于零.仿真结果表明,所设计的方法具有较强的实用性.

Integrated Guidance and Control of Nonlinear Missile Based on Adaptive Backstepping Design

This paper presents an adaptive integrated guidance and control approach for nonlinear missile, using backstepping control based RBF neural network and combined with sliding mode control. Frist, the dynamic of guidance and control system is transformed into a strict-feedback. After that, an on-line neural network based backstepping control is used to provide robustness with respect to parametric uncertainties in the missile aerodynamics, and through introduction of the sliding mode term, it can make the tracking error approach to zero. Simulation results demonstrate that the designed control system enjoys good performance and robustness.