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

doi:10.16731/j.cnki.1671-3133.2025.03.015

Abstract

Abstract: 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.

Key words: dump truck, interconnected oil-gas suspension, multi-objective optimization, INSGA-Ⅱ algorithm

CLC Number:

TD57

HUANG Kaiqi, HU Zhiqiang. Multi-objective optimization of interconnected oil-gas suspension parameters for mining dump trucks[J]. Modern Manufacturing Engineering, 2025, 534(3): 124-131.

References

[1] 张沙,谷正气,徐亚,等.行驶于矿山软土路面的自卸车的减振系统协同优化[J].汽车工程,2017,39(6):702-709.
[2] XIAO W,LU D,SONG L,et al.Influence of particle damping on ride comfort of mining dump truck[J].Mechanical Systems and Signal Processing,2020,136(3):106509.
[3] QIN B,CHEN Y,CHEN Z,et al.Modeling,bench test and ride analysis of a novel energy harvesting hydraulically interconnected suspension system[J].Mechanical Systems and Signal Processing,2022,166:108456.
[4] TAN B,ZHANG N,QI H,et al.Nonlinear dynamic analysis and experiments of a pressure self-regulating device for hydraulically interconnected suspension systems[J].Nonlinear Dynamics,2023,111(5):4173-4190.
[5] 陈盛钊,郑敏毅,凌启辉,等.双气室液压互联悬架系统特性研究[J].汽车工程,2022,44(2):272-279.
[6] LU Y,HUANG Y,SUN C,et al.An Interconnected Suspension with Adjustable Roll and Pitch Stiffness (IS-ARPS) to enhance anti-roll and anti-dive/squat characteristics[J/OL]. Proceedings of the Institution of Mechanical Engineers,Part D:Journal of Automobile Engineering,2024[2024-08-23].http://dx.doi.org/10.1177/09544070241245473.
[7] DAMAVANDI A D,MASHADI B,MASIH-TEHRANI M.Development of a hybrid intelligent switching hydraulically interconnected suspension system under a multi-objective optimized mode selection strategy with real-world condition[J].Proceedings of the Institution of Mechanical Engineers,Part D:Journal of Automobile Engineering,2024:09544070231217558.
[8] JAYARAMAN T,PALANISAMY S,THANG-ARAJ M.Hydraulic control valve integrated novel semi active roll resistant interconnected suspension with vertical and roll coordinated control scheme[J].Proceedings of the Institution of Mechanical Engineers,Part D:Journal of Automobile Engineering,2023,237(1):98-111.
[9] LI H,LIU L,ZHEN L,et al.Rollover prediction and control strategy based on experiment for tractor semitrailer fitted with hydraulically intercomnected suspension[J].International Journal of Control,Automation and Systems,2023,21(1):221-230.
[10] ZUO W,LI F,CHU H H.Multi-objective optimization of micro planar combustor with tube outlet by RSM and NSGA-Ⅱ for thermophotovoltaic applications[J].Energy,2024,291(15):1-10.
[11] JALILIANTABAR F,GHOBADIAN B,NAJ-AFI G,et al.Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation[J].Energy,2019,187:115970.
[12] ZHANG Z,LIAO C,CHAI H,et al.Multi-objective optimization of controllable config-urations for bistable laminates using NSGA-Ⅱ[J].Composite Structures,2021,266:113764.
[13] 李建强,何舟.面向多行程取送货车辆路径问题的混合NSGA-Ⅱ[J].计算机应用,2024,44(4):1187-1194.
[14] 张金泉,徐寿伟,李信诚,等.基于正交自适应鲸鱼优化的云计算任务调度[J].计算机应用,2022,42(5):1516-1523.
[15] GUO H W,SANG H,ZHANG X J,et al.An effective fruit fly optimization algorithm for the distributed permutation flowshop scheduling problem with total flowtime[J].Engineering Applications of Artificial Intelligence,2023,123:106347.
[16] 黄大山,王炳奇,刘海亮,等.四轮车辆路面激励数学模型[J].兵器装备工程学报,2021,42(2):142-146.