Optimization for Multi-link Suspension Hard-points Based on PDJI-MOPSO Algorithm

Abstract

Abstract:

Based on the rigid body kinematics theory, a mathematical model of a multi-link suspension was established, which was followed by the validation using the corresponding simulation model based on multi-body system dynamics theory. With perturbation method, multiple factors sensitivity analysis was researched about key hard-points of affecting suspension K&C characteristics, which were optimized by applying the PDJI-MOPSO algorithm, and the Pareto optimal solution set was obtained. The results show that the values of camber angle, toe angle and wheel travel track are reduced. The optimized suspension is more conducive to vehicle handling stability, and reduces tire wearing loss as well.

Key words: multi-link suspension, hard-point, multiple factors sensitivity analysis, PDJI-MOPSO algorithm

摘要：

基于刚体运动学理论建立了多连杆悬架的数学模型，并通过运用多体系统动力学理论建立的仿真模型对其进行了验证。采用扰动法对影响悬架K&C特性较大的关键硬点进行了多因素灵敏度分析。结合加入比例分布及跳数操作的多目标粒子群优化(PDJI-MOPSO)算法对硬点进行多目标优化，获得硬点的Pareto最优解集。结果表明，优化后的多连杆悬架在车轮跳动过程中，车轮前束角、外倾角和轮距变化范围更小，有利于减小轮胎磨损，提高汽车操纵稳定性。

关键词: 多连杆悬架, 硬点, 多因素灵敏度分析, PDJI-MOPSO算法

CLC Number:

U463

FENG Jin-Zhi, CHEN Xin, ZHENG Song-Lin, HOU Cheng-Yu. Optimization for Multi-link Suspension Hard-points Based on PDJI-MOPSO Algorithm[J]. China Mechanical Engineering, 2013, 24(13): 1841-1845.

冯金芝, 陈兴, 郑松林, 侯盛昱. 基于PDJI-MOPSO算法的多连杆悬架硬点优化[J]. 中国机械工程, 2013, 24(13): 1841-1845.

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