Fuzzy control system design for wheel slip prevention and tracking of desired speed profile in electric trains

被引：28

作者：

Moaveni B. ^{[1
]}

Rashidi Fathabadi F. ^{[2
]}

Molavi A. ^{[3
]}

机构：

[1] Center of excellence for Modelling and Control of Complex Systems, Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran

[2] Department of Electrical and Computer Engineering, Western Michigan University, MI

[3] Institute of Robotics and Industrial Informatics, Polytechnical University of Catalonia, Barcelona

来源：

Asian Journal of Control | 2022年 / 24卷 / 01期

关键词：

Compendex;

D O I：

10.1002/asjc.2472

中图分类号：

学科分类号：

摘要：

This study proposes an anti-slip control system for electric trains based on the fuzzy logic theory, which prevents the wheels from slipping during the acceleration and simultaneously tracks the desired speed profile. To improve the control performance, the train longitudinal velocity and the slip ratio are estimated. By using a field-oriented control (FOC), the angular speed of the traction motor is controlled. The fuzzy control system determines the desired angular speed of the traction motor as the reference input of FOC to obtain the desired slip ratio and track the desired speed profile. Simulation results show the effectiveness of the control system in various wheel–rail surface conditions based on the real parameters of ER24PC locomotive. © 2020 Chinese Automatic Control Society and John Wiley & Sons Australia, Ltd

引用

页码：388 / 400

页数：12

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