多任务并行的摩托车悬架系统参数多目标优化

doi:10.16182/j.issn1004731x.joss.20-0041

系统仿真学报 ›› 2021, Vol. 33 ›› Issue (5): 1216-1223.doi: 10.16182/j.issn1004731x.joss.20-0041

多任务并行的摩托车悬架系统参数多目标优化

冉险生, 杨静, 罗领, 陈凯

重庆交通大学机电与车辆工程学院,重庆 400074

收稿日期:2020-01-14 修回日期:2020-03-27 出版日期:2021-05-18 发布日期:2021-06-09
作者简介:冉险生(1971-),男,博士,副教授,研究方向为车辆动力学。E-mail：cqrxs@qq.com
基金资助:
重庆市博士后科研项目(Xm2017116)

Multi-objective Optimization of Multi-task Parallel Motorcycle Suspension System Parameters

Ran Xiansheng, Yang Jing, Luo Ling, Chen Kai

School of Mechanical & Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, China

Received:2020-01-14 Revised:2020-03-27 Online:2021-05-18 Published:2021-06-09

摘要/Abstract

摘要： 针对大排量摩托车中高速行驶时前悬架系统摆振(wobble)和后悬架系统迂回摆动(weave)的综合问题,提出一种基于灵敏度分析和近似建模的多目标优化方案。建立摩托车模型并完成动力学仿真,以表征摆振和迂回摆动的前轮质心位置侧向加速度、整车质心位置横摆角速度和侧倾角速度为目标,对悬架系统参数进行灵敏度分析和近似建模,基于分析结果完成悬架系统参数的多目标优化,并利用根轨迹法对优化结果进行验证。结果表明,优化后摩托车的摆振和迂回摆动模态稳定性得到明显提升。

关键词: 悬架, 灵敏度分析, 近似建模, 多目标优化, 根轨迹

Abstract: Aiming at the comprehensive problem of wobble of front suspension system and weave of rear suspension system of large displacement motorcycle at medium and high speed, a multi-objective optimization scheme based on sensitivity analysis and approximate modeling is proposed. The motorcycle model is established and the dynamics simulation is carried out. The lateral acceleration of front wheel's centroid position, the yaw rate and roll rate of whole vehicle's centroid position, which characterize the wobble and weave are the targets. The sensitivity analysis of suspension system parameters and the approximate modeling are carried out. Based on the analysis results, the multi-objective optimization analysis of suspension system parameters is accomplished, and the root locus method is used to verify the optimization results. The results show that the stability of wobble and weave mode is significantly improved.

Key words: suspension, sensitivity analysis, approximate modeling, multi-objective optimization, root locus

中图分类号:

U483
TP391

冉险生, 杨静, 罗领, 陈凯. 多任务并行的摩托车悬架系统参数多目标优化[J]. 系统仿真学报, 2021, 33(5): 1216-1223.

Ran Xiansheng, Yang Jing, Luo Ling, Chen Kai. Multi-objective Optimization of Multi-task Parallel Motorcycle Suspension System Parameters[J]. Journal of System Simulation, 2021, 33(5): 1216-1223.

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多任务并行的摩托车悬架系统参数多目标优化

Multi-objective Optimization of Multi-task Parallel Motorcycle Suspension System Parameters

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