遗传算法优化的非线性悬架系统仿真研究

刘涛; 张勇

doi:10.13433/j.cnki.1003-8728.20220013

遗传算法优化的非线性悬架系统仿真研究

doi: 10.13433/j.cnki.1003-8728.20220013

刘涛^1,,
张勇²

1.
烟台南山学院智能科学与工程学院，山东烟台　265713
2.
河南省计量科学研究院，郑州　450008

基金项目: 2020年南山集团科技计划项目

详细信息

作者简介:
刘涛（1989−），讲师，硕士研究生，研究方向为汽车振动控制、汽车能量回收，lt201312@163.com

中图分类号: TH113.1
计量
- 文章访问数: 104
- HTML全文浏览量: 41
- PDF下载量: 22
- 被引次数: 0
出版历程
- 收稿日期: 2021-04-08
- 网络出版日期: 2023-05-29
- 刊出日期: 2023-05-25

Simulation Study on Nonlinear Suspension System by Genetic Algorithm Optimization

LIU Tao^1
,,
ZHANG Yong²

1.
College of Intelligent Science and Engineering, Yantai Nanshan University, Yantai 265713, Shandong, China
2.
School of Henan Institute of Metrology, Zhengzhou 450008, China

摘要

摘要: 以四分之一汽车模型为研究对象，通过线性减振弹簧构建非线性Duffing振子，提出一种切实可行的非线性悬架系统构建方法。利用增维精细积分法求解非线性悬架系统动力学模型；以车身总加权加速度均方根值最小为优化目标，汽车偏频取值为约束条件，建立非线性悬架系统的优化模型，引入遗传算法，确定非线性悬架最优的弹簧刚度和阻尼系数；进行SIMULINK仿真，对比非线性悬架系统相与传统线性悬架系统的减振效果，进一步证明了所构建的非线性悬架系统的可行性和优越性，为非线性悬架方面的研究提供了一种新方法。
- Duffing振子 /
- 非线性悬架 /
- 增维精细积分法 /
- 遗传算法优化
Abstract: In this paper, the quarter car model is taken as the research object, and a feasible nonlinear suspension system construction method is proposed based on the nonlinear Duffing oscillator constructed by linear damping spring. The dynamic model of nonlinear suspension system is solved by the increased dimensional fine integral method. The optimization model of the nonlinear suspension system was established, in which the optimization objective is to minimize the root mean square value of the total weighted acceleration of the vehicle body, and the constraint condition is the value of vehicle offset frequency. Genetic algorithm is introduced to determine the optimal spring stiffness and damping coefficient of nonlinear suspension system. The Simulink simulation result proves that the nonlinear suspension system has better feasibility and superiority than the traditional linear suspension system. This study provides a new method for the design and optimization of nonlinear suspension system.
- duffing oscillator /
- nonlinear suspension /
- increasing dimension precise integration method /
- Genetic algorithm optimization

HTML全文

图 1 二自由度非线性悬架系统

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图 2 遗传算法仿真路线

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图 3 遗传代数及解的变化曲线

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图 4 不同车速下加速度方均根值

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图 5 Simulink仿真模型

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图 6 路面不平度输入模型

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图 7 线性悬架车身位移

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图 8 非线性悬架车身位移

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表 1 轿车偏频取值范围^[14]

车型	满载时偏频/Hz
车型	前悬架	后悬架
普通级、中级轿车	1.02~1.44	1.18~1.58
高级轿车	0.91~1.12	0.98~1.29

下载: 导出CSV

表 2 车辆模型参数

参数	数值
簧载质量m₂	315 kg
非簧载质量m₁	45 kg
悬架弹簧刚度k₂	2.2×10⁴N/m
轮胎刚度k₁	1.9×10⁵ N/m
悬架阻尼系数c	1.5×10³N·s/m

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