基于ADAMS/Car的麦弗逊前悬架定位参数优化

2015 International Conference on Computer Science and Mechanical Automation (CSMA) Pub Date : 2015-10-23 DOI:10.1109/CSMA.2015.66

Jingjun Zhang, X. Jia, Ziyue Zhao, Ruizhen Gao

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引用次数: 2

摘要

利用ADAMS/Car软件建立了基于多体系统动力学的McPherson前悬架虚拟样机模型，并进行了车轮平行行程仿真。通过对悬架设计因子的灵敏度分析和ADAMS/Insight的多次迭代优化，最终在优化约束下找到对优化目标灵敏度影响较大的设计因子参数。通过优化设计因子参数，较好地解决了悬架定位参数优化问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimization of Positioning Parameters for McPherson Front Suspension Based on ADAMS/Car

A virtual prototype model of a McPherson front suspension is built that is used of ADAMS/Car and based on multi-body system dynamics and conducted the parallel wheel travel simulation. After sensitivity analysis of suspension design factor and optimization of multiple iterations using ADAMS/Insight, the design factor parameter that has great influence for the optimization goal sensitivity is found under the optimization constraints finally. The problem of suspension positioning parameters optimization is better solved by optimizing the design factor parameters.

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2015 International Conference on Computer Science and Mechanical Automation (CSMA)

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