汽车双横臂悬架参数稳健优化设计

程贤福; 刘艳军; 林彧群

doi:10.13433/j.cnki.1003-8728.2016.0920

汽车双横臂悬架参数稳健优化设计

doi: 10.13433/j.cnki.1003-8728.2016.0920

1.
华东交通大学机电工程学院, 南昌 330013;
2.
江铃汽车股份有限公司, 南昌 330001

基金项目:

国家自然科学基金项目（51165007）与江西省自然科学基金项目（20132BAB206025）资助

详细信息

作者简介:
程贤福(1975-),副教授,博士,研究方向为稳健优化设计、车辆CAE技术等,chxfxn@sina.com

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- 被引次数: 0
出版历程
- 收稿日期: 2014-10-08
- 刊出日期: 2016-09-05

Robust Optimization Design of Double Wishbone Suspension System for Automotive

1.
School of Mechanical and Electronical Engineering, East China Jiaotong University, Nanchang 330013, China;
2.
Jiangling Motors Corporation Ltd, Nanchang 330001, China

摘要

摘要: 针对悬架设计参数的不确定性，提出了基于Kriging模型和粒子群优化算法的双横臂悬架稳健优化设计方法。对悬架硬点坐标进行灵敏度分析，获得对于悬架性能影响较大的一组悬架硬点的坐标，将其作为设计变量，悬架的运动学性能作为响应，拟合得到了双横臂悬架的Kriging模型。应用粒子群算法，考虑噪声因素对悬架运动学性能的影响，在设计变量的可行空间内进行寻优，获得双横臂悬架稳健优化设计的方案。通过稳健优化设计，双横臂悬架运动性能参数的稳健性得到了提高。
- 稳健设计 /
- Kriging模型 /
- 粒子群算法 /
- 双横臂悬架
Abstract: In order to improve the robustness of double wishbone suspension, a multi-objective robust design method for double wishbone suspension system is presented based on the Kriging and particle swarm optimization. To achieve a group of hard point coordinates which had a great influence on the performance of suspension, the sensitivity analysis is carried out on the suspension hard point coordinates. These coordinates are considered as the design variables and the performance of kinematics of suspension are considered as a response, and the Kriging model for double wishbone suspension is established. The particle swarm optimization method is applied to optimize the design variables within the feasible space and consider the factors of noise that affect the performance of suspension kinematics. Furthermore, the scheme of double wishbone suspension of robust optimization design is achieved.
- robust design /
- kriging model /
- particle swarm optimization /
- double wishbone suspension

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参考文献(15)

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