An investigation of active safety control strategies for improving the lateral stability of car-trailer systems

Q4 Engineering International Journal of Vehicle Systems Modelling and Testing Pub Date : 2019-01-01 DOI:10.1504/ijvsmt.2019.104874

Lin Zhao, Yuping He

{"title":"An investigation of active safety control strategies for improving the lateral stability of car-trailer systems","authors":"Lin Zhao, Yuping He","doi":"10.1504/ijvsmt.2019.104874","DOIUrl":null,"url":null,"abstract":"This paper presents an evaluation of control strategies for improving the lateral stability of car-trailer systems. A linear stability analysis method is proposed for the evaluation. The strategies include active trailer differential braking, active trailer steering and variable geometry approach. A linear 3 degrees of freedom (DOF) yaw-plane car-trailer model is generated for the controllers' design and a nonlinear 21-DOF yaw-roll car-trailer model is developed in CarSim to validate the stability control strategies by means of numerical simulations. To determine the stable motion boundary, eigenvalue analysis is conducted for identifying the vehicle critical speed. The linear quadratic regulator technique is applied to the design of controllers for active trailer braking, active trailer steering and variable geometry strategies. It is revealed that the active trailer braking strategy is feasible and effective for improving the lateral stability of car-trailer systems. Simulation results demonstrate the effectiveness of the linear stability analysis method.","PeriodicalId":35145,"journal":{"name":"International Journal of Vehicle Systems Modelling and Testing","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/ijvsmt.2019.104874","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Vehicle Systems Modelling and Testing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijvsmt.2019.104874","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}

引用次数: 2

Abstract

This paper presents an evaluation of control strategies for improving the lateral stability of car-trailer systems. A linear stability analysis method is proposed for the evaluation. The strategies include active trailer differential braking, active trailer steering and variable geometry approach. A linear 3 degrees of freedom (DOF) yaw-plane car-trailer model is generated for the controllers' design and a nonlinear 21-DOF yaw-roll car-trailer model is developed in CarSim to validate the stability control strategies by means of numerical simulations. To determine the stable motion boundary, eigenvalue analysis is conducted for identifying the vehicle critical speed. The linear quadratic regulator technique is applied to the design of controllers for active trailer braking, active trailer steering and variable geometry strategies. It is revealed that the active trailer braking strategy is feasible and effective for improving the lateral stability of car-trailer systems. Simulation results demonstrate the effectiveness of the linear stability analysis method.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

提高汽车-挂车系统横向稳定性的主动安全控制策略研究

本文对提高汽车-挂车系统横向稳定性的控制策略进行了评价。提出了一种线性稳定性分析方法。该策略包括主动挂车差动制动、主动挂车转向和变几何方法。为了对控制器进行设计，建立了一个3自由度的横摆平面线性模型，并在CarSim中建立了一个21自由度的横摆侧倾非线性模型，通过数值仿真验证了稳定性控制策略。为确定稳定运动边界，采用特征值分析识别车辆临界速度。将线性二次型调节器技术应用于挂车主动制动、主动转向和变几何策略的控制器设计。研究结果表明，主动制动策略对于提高汽车-挂车系统的横向稳定性是可行和有效的。仿真结果验证了线性稳定性分析方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

International Journal of Vehicle Systems Modelling and Testing Engineering-Automotive Engineering

CiteScore

0.50

自引率

0.00%

发文量

期刊介绍： IJVSMT provides a resource of information for the scientific and engineering community working with ground vehicles. Emphases are placed on novel computational and testing techniques that are used by automotive engineers and scientists.