arrow
返回

Predictive Slip Control for Electrical Trains

delete2016-06-01
delete51
PRE
AI
S
Sajad Sadr
D
Davood Arab Khaburi *
J
José Rodríguez *
DOI:10.1109/TIE.2016.2543180delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
This paper presents a new methodology to achieve the maximum adhesion between wheels of a train and rails throughout acceleration mode of electrical trains in terms of predicting its corresponding wheel slip. The proposed methodology obtains the best operation point holding the maximum acceleration at the maximum adhesion point. Since the feeble adhesion coefficient is the first problem of the adhesion control system and it is not a measurable quantity, an estimator is used to estimate the adhesion coefficient. Although variations of the adhesion coefficient versus the wheel slip do not have a fixed curve and a certain behavior, the proposed methodology is capable of gaining the maximum acceleration and optimizes the depreciation of the wheel and the rail. The interior loop of the proposed predictive slip control is the field-oriented control of the induction motor. After simulation, the suggested methodology is implemented on a test bench using a digital signal processor (DSP). The experimental and simulation results justify the efficiency and efficacy of the proposed idea.
Keyword:
Acceleration
adhesion coefficient
adhesion control
estimation
motor speed control
prediction
slip control
traction control
train
wheel slip
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

IEEE Transactions on Industrial Electronics 封面图
IEEE Transactions on Industrial Electronics
IF:
7.2
论文数:
1.8W
被引数:
9.8W

机构

U
Universidad Andres Bello
学者数:
4.1K
论文数: 3.6K
被引数: 50
引用论文

引用论文

An Encoderless Predictive Torque Control for an Induction Machine With a Revised Prediction Model and EFOSMO
err2014-12-01
err81
PREAI
errWang, Fengxiang; Zhang, Zhenbin; Davari, S. Alireza; Fotouhi, Reza; Khaburi, Davood Arab; Rodriguez, Jose; Kennel, Ralph
err分享
err收藏
err分享
err收藏
err分享
err收藏
学者 查看更多内容