航空学报 > 2001, Vol. 22 Issue (4): 317-320

神经网络及模糊控制在飞机防滑刹车系统中的应用

黄伟明1, 吴瑞祥2, 张燮年1   

  1. 1. 中国航空工业第一集团公司609 所一室, 湖北襄樊 441052;2. 北京航空航天大学机械工程与自动化学院, 北京 100083
  • 收稿日期:2000-04-10 修回日期:2000-11-14 出版日期:2001-08-25 发布日期:2001-08-25

AIRCRAFT ANTISKID BRAKE SYSTEM WITH NEURAL NETWORK AND FUZZY CONTROL

HUANG Wei-ming1, WU Rui-xiang2, ZHANG Xie-nian1   

  1. 1. China Research Institute of Aero-Accessories, Xiangfan 441052, China;2. School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
  • Received:2000-04-10 Revised:2000-11-14 Online:2001-08-25 Published:2001-08-25

摘要:

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 :新的控制方案能极大的改善飞机的刹车性能。

关键词: 神经网络, 模糊控制, 防滑刹车系统, 滑移率, 仿真

Abstract:

A new brake system control method with neural networ k and fuzzy logic is proposed. The nonlinearity identification and trace following in braking process are solved by using the neural network. The bad effects of 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 some aircraft. The results indicate that the new method can improve the aircraft brake performance greatly.

Key words: neur al netw o rk, f uzzy contr ol, a ntiskid br ake sy stem, slipping r atio, simulatio n