矿用自卸车互联油气悬架参数多目标优化  

Multi-objective optimization of interconnected oil-gas suspension parameters for mining dump trucks

作　　者：黄开启[1] 胡智强 HUANG Kaiqi;HU Zhiqiang(School of Mechanical and Electrical Engineering,Jiangxi University of Science and Technology,)

机构地区：[1]江西理工大学机电工程学院,赣州341000

出　　处：《现代制造工程》2025年第3期124-131,140,共9页Modern Manufacturing Engineering

摘　　要：为了提高矿用自卸车在恶劣路况下的侧倾稳定性和平顺性,以互联式油气悬架为对象,利用AMESim和Simulink联合仿真平台建立了矿用自卸车的互联油气悬架-路面-车身模型。通过分析悬架系统的结构参数对刚度和阻尼的影响,选择了5个优化设计变量。为了提升初始种群和后代种群的多样性,提出一种基于正交实验设计的快速非支配排序遗传算法(Nondominated Sorting Genetic Algorithm-Ⅱ,NSGA-Ⅱ),并将其应用于互联油气悬架系统的多目标优化。仿真结果显示,改进后的NSGA-Ⅱ算法具有更好的Pareto解,在D级随机路面输入下,矿用自卸车的侧倾稳定性和行驶平顺性分别提升了26.69%和24.83%。To improve the roll stability and ride comfort of mining dump trucks under harsh road conditions,a connected oil-gas suspension system was selected as the research object.An integrated model of the connected oil-gas suspension system,road surface,and vehicle body for mining dump trucks was established using the AMESim and Simulink joint simulation platform.By analyzing the impact of suspension system structural parameters on stiffness and damping,5 optimization design variables were selected.To enhance the diversity of the initial and subsequent generations,a rapid Nondominated Sorting Genetic Algorithm-Ⅱ(NSGA-Ⅱ)based on orthogonal experimental design was proposed and applied to the multi-objective optimization of the connected oil-gas suspension system.Simulation results indicate that the improved NSGA-Ⅱ algorithm provides better Pareto solutions,with roll stability and ride comfort of the mining dump truck improved by 26.69% and 24.83%,respectively,under D-class random road input.

关 键 词：矿用自卸车 互联油气悬架 多目标优化 改进的非支配排序遗传算法 

分 类 号：TD57[矿业工程—矿山机电]