基于遗传算法的ABS模糊控制器的设计

Design of GA-based Fuzzy Controller for Anti-lock Braking System

针对汽车防抱死制动系统(ABS)的强非线性,采用基于滑移率的模糊控制策略建立了ABS的仿真模型。利用遗传算法具有全局并行搜索能力的特点,对模糊控制器的隶属度函数进行优化设计。通过仿真对优化结果与原设计值的控制效果比较,表明遗传算法可以有效地用于模糊控制器的设计过程。

The main difficulty arising from the design of Antilock Braking System (ABS) control is due to the strong nonlinearity of the system.The most important process parameters affecting the quality of control are the coefficient of friction between tire and road,the tire slip ratio,and the vertical force on the wheel.This problem is compounded by sometimes rapid variation of road conditions with its attendant large variations of friction coefficients.Fuzzy controllers have an inherently parallel structure,which allows the controller to respond immediately once a new situation has been identified.In this paper a genetic algorithm(GA) based fuzzy controller has been developed to solve the problem.The goal of the proposed controller is to maintain slip rate of the wheel within the vicinity of required value.The optimization process uses GA to determine the optimal location of membership function in the fuzzy controller.Simulations were conducted to verify the proposed strategy.The results illustrate how GA can be applied to produce feasible and effective fuzzy controller.