LabVIEW traction control dynamic simulator

Alexandru Tiganasu, C. Lazar
{"title":"LabVIEW traction control dynamic simulator","authors":"Alexandru Tiganasu, C. Lazar","doi":"10.1109/ICSTCC.2015.7321391","DOIUrl":null,"url":null,"abstract":"The field of traction control has made significant progress in the past decade being reported many automotive applications. In this paper, based on advanced control techniques from literature, it is presented a dynamic simulator for traction control created in LabVIEW. The application was built starting with two algorithms which allow the implementation of a control system for the traction devices of an electric vehicle. In the first stage, the block diagram of the vehicle model was developed using an one wheel model which is based on the longitudinal motion equations. In the next step, this model was used to develop two control traction systems based on Maximum Transmissible Torque Estimation (MTTE) control approach and, respectively, sliding mode control. Comparing the results of these two control methods, it is possible to conclude which of them is more reliable. Incorporating all three described subsystems in a single module, a simulator with a graphical interface, easy to be used, was developed. The simulator offers the possibility to automatically save the graphical results like image files and also to generate a report in a single Excel document with the data of interest.","PeriodicalId":257135,"journal":{"name":"2015 19th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 19th International Conference on System Theory, Control and Computing (ICSTCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSTCC.2015.7321391","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The field of traction control has made significant progress in the past decade being reported many automotive applications. In this paper, based on advanced control techniques from literature, it is presented a dynamic simulator for traction control created in LabVIEW. The application was built starting with two algorithms which allow the implementation of a control system for the traction devices of an electric vehicle. In the first stage, the block diagram of the vehicle model was developed using an one wheel model which is based on the longitudinal motion equations. In the next step, this model was used to develop two control traction systems based on Maximum Transmissible Torque Estimation (MTTE) control approach and, respectively, sliding mode control. Comparing the results of these two control methods, it is possible to conclude which of them is more reliable. Incorporating all three described subsystems in a single module, a simulator with a graphical interface, easy to be used, was developed. The simulator offers the possibility to automatically save the graphical results like image files and also to generate a report in a single Excel document with the data of interest.
LabVIEW牵引力控制动态模拟器
牵引力控制领域在过去十年中取得了重大进展,被报道为许多汽车应用。本文在借鉴国内外先进控制技术的基础上,在LabVIEW中建立了一个动态牵引力控制模拟器。该应用程序从两种算法开始构建,这两种算法允许实现电动汽车牵引装置的控制系统。在第一阶段,采用基于纵向运动方程的单轮模型建立了车辆模型的方框图;下一步,利用该模型分别开发了两种基于最大传递转矩估计(MTTE)控制方法和滑模控制方法的牵引控制系统。比较这两种控制方法的结果,可以得出哪一种更可靠。将所描述的三个子系统整合到一个模块中,开发了一个具有图形界面、易于使用的模拟器。模拟器提供了自动保存图像文件等图形结果的可能性,还可以在单个Excel文档中生成包含感兴趣数据的报告。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信