汽车发动机悬置系统与悬架系统集成控制研究  

Integrated Control of Vehicle Engine Mounting System and Suspension System

作　　者：潘道远[1] 高清振 李宽路 李伟[1] PAN Dao-yuan;GAO Qing-zhen;LI Kuan-lu;LI Wei(School of Mechanical Engineering,Anhui Polytechnic University,Anhui Wuhu 241000,China;Anhui Engineering Technology Research Center of Automotive New Technique,Anhui Wuhu 241000,China)

机构地区：[1]安徽工程大学机械工程学院,安徽芜湖241000 [2]汽车新技术安徽省工程技术研究中心,安徽芜湖241000

出　　处：《机械设计与制造》2022年第8期12-17,共6页Machinery Design & Manufacture

基　　金：安徽省自然科学基金项目(1808085ME128);安徽高校自然科学重点项目(KJ2019A0680);安徽工程大学创新团队—人机自然交互下的智能机器人信息共融与协同控制。

摘　　要：建立了车辆悬置系统与悬架系统的集成模型,应用最优控制理论设计了集成控制系统。针对最优控制器加权系数难以确定的问题,采用粒子群算法优化加权系数以提高集成控制系统的控制品质。为验证集成控制系统采用基于粒子群算法优化的LQR控制策略的效果,利用Matlab进行频域和时域分析。悬架动挠度的峰值和均方根值分别降低了16.28%和19.13%。悬置动挠度的峰值和均方根值分别降低了88.37%和83.33%。分析结果表明基于粒子群算法的LQR控制策略在改善悬架动挠度和悬置动挠度方面效果明显,有利于提高车辆的操纵稳定性。The integrated model of vehicle engine mounting system and suspension system is established,and the integrated control system is designed by applying the optimal control theory.To solve the problem that it is difficult to determine the weighting coefficient of the optimal controller,the particle swarm optimization is used to optimize the weighting coefficient to improve the control quality of the integrated control system.To verify the effect of LQR control strategy optimized by the particle swarm optimization for integrated control system,Matlab is used for frequency and time domain analysis.The peak and root mean square values of the suspension dynamic deflection were reduced by 16.28% and 19.13% respectively.The peak and root mean square values of the mount dynamic deflection were reduced by 88.37% and 83.33% respectively.The analysis results show that the LQR control strategy based on the particle swarm optimization has obvious effect in improving suspension dynamic deflection and mount dynamic deflection,and is beneficial to improving the vehicle handling stability.

关 键 词：集成控制 悬置系统 悬架系统 粒子群算法 

分 类 号：TH16[机械工程—机械制造及自动化] U461.4[机械工程—车辆工程]