基于ANN与FNN的飞机防滑刹车系统设计

Design of Aircraft Antiskid Brake System with ANN and FNN

飞机防滑刹车问题的关键是滑移率。为了使飞机刹车以最佳滑移率工作,防止陷入深度打滑和获得最大的刹车结合系数,提出一种智能飞机刹车系统,该系统由两部分组成:①利用神经网络(ANN)构造的,能实时获得最佳滑移率的最佳滑移率识别器;②利用模糊神经网络(FNN)构造的,能快速逼近目标滑移率的FNN控制器。计算机仿真结果表明系统的控制精度、稳定性和对复杂工况的适应性都得到了提高。

Slip ratio is important to antiskid brake system. To prevent serious skidding and obtain maximum friction coefficient, a design of intelligent brake system is presented. The system includes two parts： 1） A perfect slip ratio identifier constructed by ANN （artificial neural network） to get the real time perfect slip ratio. 2） A FNN （fuzzy neural network） Controller to follow up with the target slip ratio. Computer simulation shows improvements of the system in precision, stability, robustness and adaptability to complicated work conditions.