摘要
为了将路感模拟技术与转向路感的客观评价相结合,减少转向所带来的疲劳感,基于驾驶员偏好路感力矩实验数据设计路感力矩控制策略。建立十四自由度整车模型与转向盘总成模型,根据驾驶员偏好路感力矩设计拟合函数模型,采用粒子群算法进行参数辨识,进行不同工况的仿真实验验证模型的实际效果。仿真结果表明:所设计模型贴合驾驶员偏好路感力矩,同时转向盘转角限制在了设定范围内,具有低速转向轻便,高速路感清晰的特点,在高速工况下也能有效防止驾驶员快速转动转向盘,减小安全隐患。
In order to combine road feeling simulation technology with objective evaluation of steering road feel and reduce fatigue caused by steering,a road feel torque control strategy is designed based on driver preference road feel torque experimental data.Establish a 14 degree of freedom vehicle model and steering wheel assembly model,design a fitting function model based on the driver s preference for road feel torque,use particle swarm optimization algorithm for parameter identification,and conduct simulation experiments under different working conditions to verify the actual effect of the model.The simulation results show that the designed model fits the driver s preference for road feel torque,while the steering wheel angle is limited within the set range.It has the characteristics of light low-speed steering and clear high-speed road feel,and can effectively prevent the driver from quickly turning the steering wheel under high-speed conditions,reducing safety hazards.
作者
陈哲明
杨鑫
刘岩松
朱俊义
CHEN Zhe-ming;YANG Xin;LIU Yan-song;ZHU Jun-yi(Key Laboratory of Advanced Manufacturing Technology for Automobile Parts,Ministry of Education,Chongqing 400054,China;School of Vehicle Engineering,Chongqing University of Technology,Chongqing 400054,China)
出处
《科学技术与工程》
北大核心
2025年第23期10016-10022,共7页
Science Technology and Engineering
基金
重庆市自然科学基金(CSTB2022NSCQ-MSX0323)
重庆市教育委员会科学技术研究计划青年项目(KJQN202101143)。
关键词
驾驶员偏好
路感模拟
粒子群算法
线控转向
driver preference
road feeling simulation
particle swarm algorithm
steer-by-wire
