防抱死制动系统模糊自学习控制研究

由于车辆参数和运行工况的复杂多变，针对特定参数和路面条件所设计的防抱死制动系统往往难以适应。为解决这一问题，文中首先建立了带有盘式制动器的双轮车辆直线制动系统的数学模型；而后提出了模糊自学习控制策略，该方案通过引入模糊学习机制以调整模糊控制器的规则集，可使车辆对象输出跟踪理想参考模型的输出；接着对所设计控制算法在不同路面条件下进行了性能模拟；最后开发了模糊自学习微控制器，基于硬件在环仿真技术，对设计控制器的性能进行了实验验证。

A Research on Self-learning Fuzzy Control for Anti-lock Braking System

Because of complexness and variation of vehicle parameters and operation conditions,the performance of ABS designed for some specific road surface and regular vehicle parameters can not be well adapted to other road surfaces and vehicle parmeters variation To resolve this problem,double wheel vehicle's mathematical model with disk brake for straight line braking is built at first,and the self learning fuzzy control scheme is utilized to observe the behavior of the fuzzy control system and modify the fuzzy controller to more closely match the desired system's behavior Then,the performance of the FSLC based ABS is simulated for various road conditions Finally,self learning fuzzy micro controller for ABS has been developed and verified successfully based on the methodology of hardware in the loop simulation using a personal computer