一种基于模糊PID的AFS电机控制方法

本文在基于汽车驾驶模拟器的自适应前照灯系统(Adaptive Front-Lighting System,AFS)半实物硬件仿真平台上,根据AFS动力学模型的特性,提出一种基于模糊PID控制的AFS步进电机控制方法。该方法以AFS动力学模型输出为输入,利用实验获得的经验人为创建语言控制规则,并依据其进行模糊推理,构成模糊规则表,计算模糊关系最终获得模糊输出判决。在实验中运用MATLAB工具将模糊PID算法和常规PID算法进行对比,并在AFS半实物仿真平台上进行性能分析。实验结果表明,模糊PID算法明显优于常规PID算法,且更适合AFS系统中步进电机的控制需求。

A motor control method for AFS based on fuzzy PID

According to the character of the vehicle dynamics model,an algorithm for AFS(Adaptive Front-Lighting System) step motor based on fuzzy PID control is presented,which is run in the semi-physical simulation platform for AFS based on vehicle driving simulator.In the method,language control rules are created manually from the experiment experience,and with which fuzzy reasoning carries on.And then the fuzzy reasoning table is created,fuzzy relationship is calculated,and lastly the fuzzy output decision is acquired.In experiment,the fuzzy PID algorithm is compared with the normal PID algorithm using MATLAB software,and is used in the semi-physical simulation platform for performance analysis.The experiment results show that the fuzzy PID algorithm is better than the normal PID algorithm,and is more suitable for the step motor control in AFS.