吉林大学学报(信息科学版) ›› 2015, Vol. 33 ›› Issue (4): 380-.

• 论文 • 上一篇    下一篇

基于模糊自整定PID 的爆胎车辆轨迹控制

刘洋1, 于树友1, 顾雪来2, 陈虹1   

  1. 1. 吉林大学通信工程学院, 长春130022; 2. 中国北车集团大连机车车辆有限公司客户服务中心, 辽宁大连116022
  • 出版日期:2015-07-24 发布日期:2015-12-02
  • 作者简介:刘洋(1991—), 女, 吉林榆树人, 吉林大学硕士研究生, 主要从事预测控制及机器人轨迹跟踪研究, (Tel)86-13504409407(E-mail)liuyang9407@126. com. cn; 于树友(1974—), 男, 长春人, 吉林大学副教授, 博士, 硕士生导师, 主要从事预测控制及车辆稳定性控制研究, (Tel)86-13504409392(E-mail)shuyou@ jlu. edu. cn。
  • 基金资助:

    国家自然科学基金资助项目(61034001); 吉林大学“973 课题”基金资助项目(2012CB821202)

Trajectory Control of Vehicles with Blowout Tire on Expressway Based on Fuzzy PID Algorithm

LIU Yang1, YU Shuyou1, GU Xuelai2, CHEN Hong1   

  1. 1. College of Communication Engineering, Jilin University, Changchun 130022, China; 2. Customer Service Center, Dalian Locomotive and Rolling Stock Corporation Limited, China Northern Locomotive and Rolling Stock Industry Group, Dalian 116022, China
  • Online:2015-07-24 Published:2015-12-02

摘要:

为解决高速公路爆胎车辆出现偏航的问题, 借助veDYNA 软件进行了的仿真研究。在确定了爆胎车辆轨迹控制的评价指标后, 采用模糊PID(Proportion Integral Differential)控制器, 规划了爆胎后车辆的方向盘转角, 代替驾驶员对爆胎车辆进行方向控制。该方法结合模糊控制和传统PID 控制的优点, 针对车辆爆胎的复杂环境, 自动整定PID 控制参数, 适应爆胎车辆的参数变化。仿真结果表明: 基于模糊自整定PID 的爆胎车辆轨迹控制可在保证车辆稳定行驶的同时控制车辆的行驶轨迹, 使其在出现较小偏移后回到原路径, 具有较好的适应性。

关键词: 爆胎, 模糊算法, 自整定PID 控制器, 轨迹控制

Abstract:

A simulation research is carried out with the veDYNA software for the yawing motion of the vehicle during a tire blowout on the expressway. Firstly, the evaluation criteria of motion vehicles during a tire blowout are determined. Then, in order to replace the driver to control the direction of the vehicle, a fuzzy PID(Proportion, Integral, Differential) controller is adopted to plan the steering wheel angel of the vehicle with a blowout tire. This control scheme combines the advantages of fuzzy control method with the advantages of traditional PID control method. It can adjust the PID control parameters for different working conditions and complex road environments, to adapt to the changes in parameters of the vehicle during a tire blowout. The simulation shows that the trajectory control of vehicles with blowout tire based on the fuzzy PID can make the vehicle avoid yawing, the vehicle can be driven back to the original path after a small offset. It proves that this control scheme has a better adaptive ability.

Key words: tire blowout, fuzzy algorithm, self-tuning proportion integral differential ( PID) controller, trajectory control

中图分类号: 

  • TP273