基于神经网络的飞机静液刹车系统设计

针对无人机的滑跑安全问题,为有效缩短刹车距离,提高刹车效率,设计了一种新型的静液刹车系统;根据新型刹车系统的特点,并综合考虑飞机机体、机轮、跑道状况的特性,以及刹车系统的非线性和不确定性,难以精确控制的特点,设计了神经网络控制器(NNC);并将神经网络控制器,新型刹车系统和飞机滑跑模型应用于仿真环境,建立了整体的仿真模型;仿真结果表明,采用神经网络的刹车系统鲁棒性增强,刹车效率提高,明显优于采用传统控制律的刹车系统。

Design of Aircraft Antiskid Brake System Based on Neural Network

Aimed at solving the problem of safe lading of aircrafts and shortening the time of braking processing,this paper presents a new type of hydraulic brake system.The control scheme of the system was designed.For the characteristics of nonlinear,uncertainties,and being difficult to control accurately,the neural network controller(NNC)was devised based on considering about the aircraft wheel,aircraft economy and runway status,and the whole simulation model was set up.Simulation results show that the system based on neural network is superior to a conventional system in the aspects of robustness and brake efficiency.