A multi-objective optimization method for hydraulically interconnected suspension system

分类 悬挂(拓扑) 理论(学习稳定性) 遗传算法 趋同(经济学) 多目标优化 工程类 控制理论(社会学) 人口 汽车工程 灵敏度(控制系统) 帕累托原理 计算机科学 数学优化 数学 算法 机器学习 运营管理 同伦 社会学 人口学 人工智能 经济 经济增长 纯数学 控制(管理) 电子工程
作者
Chen Zhou,Feixiang Xu,Deqiang Cheng
出处
期刊:Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering [SAGE Publishing]
卷期号:238 (5): 1234-1248 被引量:4
标识
DOI:10.1177/09544070221140272
摘要

To enhance the ride comfort and roll stability of the special vehicle, this study concentrates on the inherent parameters optimization of the hydraulically interconnected suspension (HIS) system. A road-tire-HIS-body model of a special vehicle is established based on the AMESim/Simulink co-simulation platform. Then the sensitivity of the HIS system is analyzed to determine the design variables to be optimized through the AMESim/Simulink/Isight co-simulation. Two objectives including improving the ride comfort and roll stability of the vehicle are proposed. In order to enhance the population diversity and accelerate the convergence velocity, the improved non-dominated sorting genetic algorithm II (NSGA-II) based on orthogonal experimental design method is used for multi-objective optimization problem of the HIS system. The numerical simulations indicate that the improved NSGA-II (INSGA-II) can generate better distributed Pareto solutions than traditional NSGA-II. Furthermore, simulation results indicate that both of the ride comfort and roll stability of the vehicle are improved based on the HIS system optimized by INSGA-II than NSGA-II. Compared with the NSGA-II method, the vehicle ride comfort and roll stability of HIS system optimized by INSGA-II are increased by 17.62% and 8.56% in sinusoidal conditions, respectively.

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