An Advanced Antislip Control Algorithm for Locomotives Under Complex Friction Conditions-Reference-Cited by-同舟云学术

An Advanced Antislip Control Algorithm for Locomotives Under Complex Friction Conditions

Published:2021-08-11 Issue:10 Volume:16 Page:
ISSN:1555-1415
Container-title:Journal of Computational and Nonlinear Dynamics
language:en
Short-container-title:

Author:

Yang Yunfan¹,Ling Liang¹,Zhang Tao²,Wang Kaiyun¹,Zhai Wanming¹

Affiliation:

1. State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China

2. State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China; National Innovation Center of High Speed Train, Qingdao 266000, China

Abstract

Abstract The locomotive wheelsets configured with high-power AC traction motors are very prone to slip under poor friction conditions, which usually impair traction/braking efficiency. To avoid the adverse consequence caused by the conspicuous slipping behaviors of wheels, the antislip control modules are consequently equipped on high-power locomotives. This paper presents an advanced antislip control algorithm for heavy-haul locomotives traveling by complex wheel/rail friction conditions. The proposed antislip control model is implemented in a three-dimensional (3D) heavy-haul train-track coupled dynamics model, in which the real-time estimation of wheel/rail adhesion conditions and relevant optimization adjustment of control threshold values are considered. The wheel/rail dynamic interactions of the heavy-haul locomotive under traction/braking conditions and multifarious friction conditions are investigated. The control effects of the antislip controllers with changeable and constant threshold values are compared. It is shown that the traction/braking loads and friction conditions have a significant effect on wheel/rail interactions. The optimal traction/braking efficiency can be realized by adopting the antislip controller with alterable threshold values.

Publisher

ASME International

Subject

Applied Mathematics,Mechanical Engineering,Control and Systems Engineering,Applied Mathematics,Mechanical Engineering,Control and Systems Engineering

Link

http://asmedigitalcollection.asme.org/computationalnonlinear/article-pdf/16/10/101004/6738894/cnd_016_10_101004.pdf

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