神经网络及模糊控制在飞机防滑刹车系统中的应用

AIRCRAFT ANTISKID BRAKE SYSTEM WITH NEURAL NETWORK AND FUZZY CONTROL

提出了一种新的神经网络 -模糊逻辑刹车系统控制方案。利用神经网络解决刹车系统中存在的非线性识别问题 ,实现刹车过程的轨迹跟踪 ;利用模糊控制克服参数变化和环境因素造成的不利影响 ,同时避免不精确建模造成的误差 ,最后利用所设计的控制器对某型飞机进行了仿真研究。结果表明

A new brake system control method with neural network and fuzzy logic is proposed. The nonlinearity identification and trace following in braking process are solved by using the neural network. The bad effects resulting form parameter and environment changes are overcome by using fuzzy control. The error of the model is avoided at the same time. Then the new proposed controller is simulated on aircrafts. The results indicate that the new method can improve the aircraft brake performance greatly.