循环球式电动助力转向系统回正控制建模及仿真分析  

Modeling and Simulation Analysis of Return Control for Recirculating Ball Electric Power Steering System

作　　者：李洪强 孟建兵[1] 曲宝军[1] 董小娟[1] 娄广军 黄丙琪 LI Hongqiang;MENG Jianbing;QU Baojun;DONG Xiaojuan;LOU Guangjun;HUANG Bingqi(School of Mechanical Engineering, Shandong University of Technology, Zibo Shandong 255000, China)

机构地区：[1]山东理工大学机械工程学院

出　　处：《机床与液压》2019年第19期131-135,共5页Machine Tool & Hydraulics

基　　金：山东省自然科学基金项目(ZR2018MEE028)

摘　　要：针对汽车低速行驶时转向回正不足而高速行驶时回正超调震荡的问题,在分析了循环球式电动助力转向系统的数学模型、线性二自由度汽车模型及回正模型的基础上,设计了基于粒子群算法的回正控制策略。利用Matlab/Simulink建立了其仿真模型,在低、高速情况下,分别对无回正控制、常规PID回正控制和基于粒子群算法的回正控制下的转向盘转角响应和汽车横摆角速度响应进行了比较。仿真结果表明:无论是在低速还是高速情况下,所设计的基于粒子群算法的回正控制策略都能使方向盘准确、快速回到中间位置,电动助力转向系统的稳定性也得到了提高,设计的回正控制策略行之有效。According to the return ability of steering wheel is insufficient at its low speed but excessive and shock at its high speed,based on the analysis of the return model and the linear two degree of freedom(2-DoF)vehicle model and mathematical model of recirculating ball electric power steering system,a return control strategy based on particle swarm optimization(PSO)is designed.The simulation model was established by using Matlab/Simulink.Under the conditions of low and high speed,the steering angle response and vehicle yaw velocity response were compared respectively under no return control,conventional Proportion-Integral-Derivative(PID)return control and return control based on PSO.The simulation results show that both in the low speed and high speed,the design of return control strategy based on PSO algorithm can make the wheel accurately and quickly back to the middle position,and improve the stability of electric power steering system,the design of return control strategy is effective.

关 键 词：电动助力转向系统 粒子群算法 回正控制 仿真模型 

分 类 号：U463[机械工程—车辆工程]