Suspension damping optimization using genetic algorithms

A. Hemati, A. Shooshtari
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引用次数: 1

Abstract

Vehicle ride comfort is a function of the frequency of transmitting vibrations to passengers from road irregularities. The objective of this research is to provide a systematic method into the requirement of the passive suspension based on genetic algorithm (GA). Objective function of GA method is driver’s seat acceleration to provide driver ride comfort. The passive suspension damping coefficient and driver’s seat suspension damping coefficient have been optimized. In this paper, a vehicle with eight degrees of freedom has been simulated to achieve driver’s seat comfort. Analytical results explained by mathematical equations presented in the graphical form have been included.
悬架阻尼优化的遗传算法
车辆的乘坐舒适性是将道路不平整的振动传递给乘客的频率的函数。本研究的目的是提供一种基于遗传算法(GA)的被动悬架需求的系统方法。遗传算法的目标函数是驾驶员座椅加速度,为驾驶员提供乘坐舒适性。对被动悬架阻尼系数和驾驶员座悬架阻尼系数进行了优化。本文对一辆具有八自由度的汽车进行仿真,以实现驾驶员的座椅舒适性。用图形形式的数学方程式解释的分析结果已包括在内。
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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