首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers >A mechatronic approach for effective wheel slip control in railway traction
【24h】

A mechatronic approach for effective wheel slip control in railway traction

机译:一种机电一体化方法,可有效控制铁路牵引中的车轮打滑

获取原文
获取原文并翻译 | 示例
           

摘要

This article proposes a radically new approach for the detection of wheel slip/slide and re-adhesion control of AC traction motors in railway applications, which provides an important alternative and advantageous technique in traction/braking control systems to maximize the use of adhesion in poor contact conditions. The proposed concept explores the variations in the wheelset dynamic properties caused by the condition changes at the wheel-rail contact, and detects and controls the slip conditions from the dynamic behaviour of a wheelset, indirectly. All the dynamic motions of rail wheelset, which are closely related to wheel-rail contact mechanics, are included in the study; the influence of contact conditions on the relevant modes is assessed, which is essential in the development of a mechatronic solution based on dynamic interactions. This is different from the more general approaches in many other studies on traction controls where the inclusion of only wheelset rotation and longitudinal motions are considered as sufficient. The development of the slip detection and re-adhesion control schemes is presented and comprehensive simulation results are produced to support the proposed idea. [PUBLICATION ABSTRACT]
机译:本文提出了一种全新的方法,用于检测铁路应用中的交流牵引电机的车轮打滑/打滑和重新粘附控制,这为牵引/制动控制系统提供了一种重要的替代性和优势技术,可在不良情况下最大程度地利用粘附力联系条件。提出的概念探索了由轮-轨接触处的条件变化引起的轮对动态特性的变化,并间接地从轮对的动态行为中检测和控制滑移条件。研究中包括了与轮轨接触力学密切相关的所有轮轨动态运动。评估了接触条件对相关模式的影响,这对于基于动态相互作用的机电解决方案的开发至关重要。这与许多其他有关牵引力控制研究的更一般的方法不同,在牵引力控制研究中,仅包括轮对旋转和纵向运动就足够了。介绍了滑移检测和重新附着控制方案的发展,并给出了综合的仿真结果以支持所提出的想法。 [出版物摘要]

著录项

  • 来源
  • 作者

    T X Mei J H Yu D A Wilson;

  • 作者单位

    T X Mei1*, J H Yu2, and D A Wilson21 School of Computing, Science, and Engineering, Salford University,Manchester, UK2 The University of Leeds, Leeds, UKThe manuscript was received on 5 August 2008 and was accepted after revision for publication on 24 October 2008.DOI: 10.1243/09544097JRRT249* Corresponding author: School of Computing, Science and Engineering, Salford University, Manchester, M5 4WT, UK. email: t.x.mei@theiet.org;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号