Optimization of hydropneumatic suspension for articulated wheel loader based on kriging model and particle swarm algorithm

作     者：Zhao, Huanyu Wang, Guoqiang Lv, Weidong Cao, Yue Li, Xuefei 

作者机构：Jilin Univ Sch Mech Sci & Engn Changchun 130022 Jilin Peoples R China 

出 版 物：《ADVANCES IN MECHANICAL ENGINEERING》 (机械工程进展)

年 卷 期：2018年第10卷第11期

核心收录：

学科分类：08[工学] 0807[工学-动力工程及工程热物理] 0802[工学-机械工程] 

基　　金：National Natural Science Foundation of China Science and Technology Development Program of Jilin Province [20160520073JH] Postdoctoral Science Foundation of China 

主　　题：Wheel loader vehicle suspension systems optimization of hydropneumatic suspension kriging-based surrogate model particle swarm optimization algorithm 

摘      要：Articulated wheel loaders that travel on unstructured roads experience severe vibration and poor stability. Introducing suspended axles on wheel loaders, which are traditionally constructed without wheel suspension, is desirable for ride comfort. This study mainly focuses on the parameter optimization of the hydropneumatic suspension to obtain the minimum root mean square of vertical accelerations under different driving conditions, thereby improving the ride comfort of the wheel loader. The multibody model of the wheel loader with hydropneumatic suspension was developed by RecurDyn in co-simulation with MATLAB/Simulink. The vertical acceleration root mean square at the seat position was analyzed when the wheel loader was traveling on class C, D, and E roads with different travel speeds. The surrogate model of the vertical acceleration root mean square with respect to the suspension parameters was established based on kriging method. The established surrogate model was then optimized using particle swarm optimization algorithm. The optimization results of the hydropneumatic suspension parameters of the wheel loader under different road excitations and driving speeds were obtained. Simulation and optimization results show that a well-designed hydropneumatic suspension system can significantly improve wheel loader performance in reducing the vertical acceleration at the seat position compared to a suspension system without optimization.