基于遗传算法的AMT车辆起步模糊控制

FUZZY CONTROL OF THE AMT VEHICLE'S STARTING PROCESS BASED ON GENETIC ALGORITHM

通过对熟练驾驶员起步过程的分析 ,提出了能反映驾驶员意图的起步模糊控制策略。针对模糊控制器传统设计过程中存在的人为主观因素较多 ,难以进行优化等缺点 ,采用遗传算法对起步模糊控制器隶属函数参数进行优化。并为此建立了起步模糊控制系统仿真模型。用优化的模糊控制器进行实车道路试验 ,取得了满意的效果。

After analyzing the starting operation of experienced drivers,a fuzzy control strategy which can reflect the drivers' starting intention is put forward.Focused on the problem that ordinary fuzzy controller design is mixed with a lot of subjective factors and the fuzzy controller is difficult to optimize,Genetic Algorithm is applied to optimize the parameters of fuzzy membership functions of the starting fuzzy controller. Simultaneously, a simulation model for starting is established using Simulink. Road tests are implemented by using the optimized fuzzy controller, which has been proved effective.