基于PSO的直线电机式混合悬架参数优化  

Parameter Optimization of Hybrid Suspension with Linear Motor Based on PSO

作　　者：吴麟麟[1] 施明敏[1] 汪若尘[1] 丁仁凯[1] 

机构地区：[1]江苏大学汽车与交通工程学院,江苏镇江212013

出　　处：《重庆理工大学学报（自然科学）》2016年第11期12-17,42,共7页Journal of Chongqing University of Technology：Natural Science

基　　金：江苏省高校自然科学研究重大项目(15KJA460005)

摘　　要：提出了一种直线电机与减振器并联的混合悬架,用于实现悬架振动能量回收。针对混合悬架动力学性能和馈能性能之间矛盾关系,首先建立混合悬架动力学模型,研究了减振器阻尼系数对混合悬架性能影响,并将阻尼系数作为优化设计变量,以混合悬架的舒适性、安全性和馈能特性为优化目标,建立多目标优化函数,以1/4车辆模型为研究对象,采用多目标粒子群算法求全局最优解。优化之后提升了混合悬架馈能性能,且兼顾悬架动力学性能,表明该算法在混合悬架参数优化方面具有较好效果。最后进行了1/4台架试验,验证了优化结果的有效性,为节能型悬架的研究提供参考。A kind of mixed suspension is proposed in this paper to recovery suspension vibration energy. It consists of linear motor and damper in parallel. In order to coordinate the dynamic performance and energy recovery performance of suspension,firstly,the dynamic model of mixed suspension was established. The damper＇s impact on mixed suspension was studied,and the dampercoefficient was set as optimization parameters. Then the comfort,safety and energy recovery performance of mixed suspension was set as optimization goal. Multi-objective optimization function was set. And 1 /4 suspension model was set as the object of study. Multi-objective particle swarm optimization（ PSO） was used to seek global optimal solutions. The energy recovery performance was promoted,and the dynamic performance was considered after optimization. It indicated that thealgorithm has better effect in the mixed suspension parameters optimization. Finally,1 /4 bench test was carried out,and it demonstrated the effectiveness of the optimization results. The studycan provide reference for the research of energy-saving suspension.

关 键 词：混合悬架 馈能 粒子群算法 直线电机 

分 类 号：U463.1[机械工程—车辆工程]