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采用 PSO 智能算法的高速列车垂向悬挂优化。

Vertical Suspension Optimization for a High-Speed Train with PSO Intelligent Method.

机构信息

Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, 650500 Kunming, China.

Yunnan Dahongshan Pipeline Co., Ltd., 650302 Kunming, China.

出版信息

Comput Intell Neurosci. 2021 Oct 21;2021:1526792. doi: 10.1155/2021/1526792. eCollection 2021.

DOI:10.1155/2021/1526792
PMID:34721561
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8553439/
Abstract

Intelligent methods and algorithms have promoted the development of the intelligent transportation system in many ways. In the rail transportation, the vertical performance of a high-speed train suspension system has a great impact on the riding comfort of the train. Based on the intelligent optimization method of particle swarm optimization (PSO) algorithm, different inerter-spring-damper (ISD) suspension layouts are proposed for better riding comfort. A 10-degree-of-freedom (10-DOF) vertical dynamic model of a high-speed train is established, and the new suspension layouts are applied to the primary and secondary suspension of the train at the same time. Optimizations are carried out for the suspension parameters of the high-speed train. Performances of different suspension layouts at different running speeds are analysed and compared. The best layout for suspension is concluded. What is more, the virtual prototype simulation and analysis of a high-speed train with consideration of nonlinear inerters are carried out. Friction of a rack-pinion inerter is simulated in the virtual prototype simulation. And the influence of nonlinearity is discussed compared with the ideal suspensions. All the results can represent a guidance for future train suspension design and help the intelligent rail transportation system to be more comfortable.

摘要

智能方法和算法在许多方面促进了智能交通系统的发展。在铁路运输中,高速列车悬挂系统的垂向性能对列车的乘坐舒适性有很大影响。基于粒子群优化(PSO)算法的智能优化方法,提出了不同的惯容器-弹簧-阻尼器(ISD)悬挂布局,以获得更好的乘坐舒适性。建立了高速列车的 10 自由度(10-DOF)垂向动力学模型,并将新的悬挂布局同时应用于列车的一、二级悬挂。对高速列车的悬挂参数进行了优化。分析和比较了不同运行速度下不同悬挂布局的性能。得出了最佳的悬挂布局。更重要的是,考虑非线性惯容器的高速列车的虚拟样机仿真分析。在虚拟样机仿真中模拟了齿条-小齿轮惯容器的摩擦。并与理想悬挂系统进行了比较,讨论了非线性的影响。所有的结果都可以为未来的列车悬挂设计提供指导,帮助智能轨道交通系统更加舒适。

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