基于CSO-PSO算法的半主动空气悬架系统参数优化研究  

Research on parameter optimization of semi-active air suspension system using CSO-PSO algorithm

作　　者：袁春元[1] 宋盘石 蔡锦康 王新彦[1] 华周 Yuan Chunyuan;Song Panshi;Cai Jinkang;WanG Xinyan;Hua Zhou(College of Mechanical,Jiangsu University of Science and Technology,Zhenjiang,212000,China;PanoSim Technology Co.,Ltd.,Jiaxing,314000,China)

机构地区：[1]江苏科技大学机械学院,江苏镇江212000 [2]浙江天行健智能科技有限公司,浙江嘉兴314000

出　　处：《中国农机化学报》2020年第12期95-101,共7页Journal of Chinese Agricultural Mechanization

基　　金：国家自然科学基金项目(51575249)。

摘　　要：针对我国汽车悬架控制系统智能化程度低,难以满足人们生产和生活的需求的问题,开发一种集合有CSO算法和PSO算法优点的混合算法:CSO-PSO算法。利用CSO-PSO算法进行三种不同路况下的半主动空气悬架的空气弹簧刚度优化,并将仿真结果与CSO,PSO算法分别进行比较。仿真结果表明,与CSO算法和PSO算法相比,CSO-PSO算法能够在保证安全性的前提下明显提高车辆乘坐舒适性。在三种仿真路况下,相对于被动悬架系统,CSO-PSO算法优化的半主动悬架系统的车身质心垂向加速度分别提高31.53%、35.14%、27.04%。Aiming at the problem that China s automobile suspension control system is not intelligent enough and difficult to meet the needs of people s production and life,a hybrid algorithm,CSO-PSO algorithm,which combines the advantages of CSO algorithm and PSO algorithm is developed.The air spring stiffness optimization control of semi-active air suspension under three different road conditions is carried out using CSO-PSO algorithm,and the simulation results are compared with CSO algorithm and PSO algorithm respectively.The simulation results show that compared with the CSO algorithm and the PSO algorithm,the CSO-PSO algorithm can greatly improve the ride comfort of the vehicle under the premise of ensuring safety.Under the three simulated road conditions,the ride comfort of the semi-active suspension system controlled by CSO-PSO algorithm is increased by 31.53%、35.14%and 27.04%respectively,compared with the passive suspension system.

关 键 词：半主动空气悬架 粒子群算法 MATLAB 空气弹簧 参数优化 

分 类 号：U463.335.1[机械工程—车辆工程]