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Fuzzy control system design for wheel slip prevention and tracking of desired speed profile in electric trains
Asian Journal of Control ( IF 2.7 ) Pub Date : 2020-11-16 , DOI: 10.1002/asjc.2472
Bijan Moaveni 1 , Fatemeh Rashidi Fathabadi 2 , Ali Molavi 3
Affiliation  

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.

中文翻译:

电动火车车轮防滑和跟踪所需速度曲线的模糊控制系统设计

本研究提出了一种基于模糊逻辑理论的电动火车防滑控制系统,该系统可防止车轮在加速过程中打滑,同时跟踪所需的速度曲线。为了提高控制性能,估计了列车纵向速度和滑移率。通过使用磁场定向控制 (FOC),可以控制牵引电机的角速度。模糊控制系统将牵引电机的所需角速度确定为 FOC 的参考输入,以获得所需的滑差率并跟踪所需的速度曲线。仿真结果表明了基于ER24PC机车真实参数的控制系统在各种轮轨表面工况下的有效性。
更新日期:2020-11-16
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