基于T-S模糊神经网络的飞机防滑刹车系统研究

Research of Aircraft Antiskid Braking System Based on T-S Fuzzy Neural Network[HS)]

摘要:

航空业的发展对飞机防滑刹车系统提出了更高的要求,而传统PID+PBM控制器存在着低速打滑、刹车效率较低等问题；针对刹车过程中的不确定性和非线性问题,提出采用T-S模糊神经网络来进行防滑刹车控制器设计；在MATLAB/SIMULINK平台建立飞机刹车总体仿真模型,将设计的控制器与传统控制器进行对比仿真试验；仿真结果表明,基于T-S模糊神经网络的控制器解决了传统PID+PBM系统存在的问题,具有良好的控制效果,系统具有鲁棒性,能够适应变化的跑道情况,为飞机防滑刹车控制提供了一种新的方法。

Abstract:

Development of aircraft industry has proposed high demand of aircraft antiskid braking system, while the traditional PID+PBM brake control system has the problem of low braking efficiency and low speed skid. Considering the nonlinearity and uncertainty of braking process, paper designs antiskid braking controller based on T-S fuzzy neural network. The numeric model of the proposed system and the new control algorithm has been verified and simulated in MATLAB/SIMULINK software. The simulation results show that the T-S fuzzy neural network controller solves the problem of traditional controller, improves the brake performance, has good robustness, and provides a new way for controlling antiskid braking system.