中国机械工程 ›› 2026, Vol. 37 ›› Issue (9): 2343-2353.DOI: 10.3969/j.issn.1004-132X.2026.09.027

• 工程前沿 • 上一篇    

三模块分布式驱动虚拟轨道列车的驱动防滑控制

陈勇1,2, 左建勇1, 曹文祥2, 刘宏达2, 吴磊3()   

  1. 1.同济大学铁道与城市轨道交通研究院, 上海, 201804
    2.中车株洲电力机车有限公司, 株洲, 412001
    3.西南交通大学机械工程学院, 成都, 610031
  • 收稿日期:2025-02-20 出版日期:2026-09-25 发布日期:2026-10-21
  • 通讯作者: 吴磊
  • 作者简介:陈勇,男,1981年生,正高级工程师、博士研究生。研究方向为轨道交通控制技术
    吴磊*(通信作者),男,1981年生,副教授、博士。研究方向为车辆导向主动控制。E-mail:Virtualtrack2024@163.com。
    第一联系人:朱峰,男,2000年生,硕士研究生。研究方向为复钛叠层材料的铆焊连接工艺。E-mail: f1109_zhu@sjtu.edu.cn。马运五*(通信作者),男,1990年生,副教授、博士研究生导师。研究方向为轻量化材料焊接与连接技术。E-mail: myw3337@sjtu.edu.cn。
  • 基金资助:
    四川省自然科学基金(2024NSFSC0019);西藏自治区科技计划(XZ202402ZD0003-06)

Drive Anti-slip Control of Three-module Distributed Drive Virtual Track Trains

CHEN Yong1,2, ZUO Jianyong1, CAO Wenxiang2, LIU Hongda2, WU Lei3()   

  1. 1.Institute of Rail Transit,Tongji University,Shanghai,201804
    2.CRRC Zhuzhou Electric Locomotive Co. ,Ltd. ,Zhuzhou,Hunan,412001
    3.School of Mechanical Engineering,Southwest Jiaotong University,Chengdu,610031
  • Received:2025-02-20 Online:2026-09-25 Published:2026-10-21
  • Contact: WU Lei

摘要:

针对虚拟轨道列车因铰接结构与多车轮配置引发的打滑问题,提出了一种三模块分布式防滑控制模型,包含驾驶员控制、防滑控制与转矩协调控制模块。驾驶员控制基于模糊控制算法,以速度误差及其变化率为输入,输出踏板开度,实现车辆目标速度精准跟踪。防滑控制采用基于滑转率偏差的PID算法,调节电机驱动力矩,有效抑制车轮打滑。为解决因力矩差异引起的转向偏差问题,提出“同轴低选”原则,实现同轴车轮力矩协调,保障行驶稳定性。仿真结果表明:该模型在速度控制中的误差小于0.5%;在未施加防滑控制的情况下,车轮滑转率及驱动力矩表现出明显波动,验证了防滑控制措施的必要性;在低附着系数及对接路面工况下,系统可实现滑转率稳定控制与加速性能改善。将该方法与滑模控制方法进行对比实验,结果显示,PID控制在控制精度与系统稳定性方面表现更优。在对开路面工况下,转矩协调模块通过“同轴低选”策略统一同轴车轮力矩,有效避免了转向偏差,提高了车辆操控稳定性。

关键词: 虚拟轨道列车, 分布式驱动, 驾驶员模型, 驱动防滑控制, 滑转率, 转矩协调控制

Abstract:

Aiming at the slipping problems caused by the articulated structure and multi-wheel configuration of virtual track trains, a three-module distributed anti-slip control model was proposed, including driver control, anti-slip control and torque coordination control modules. The driver control was based on fuzzy control algorithm. With the speed errors and the change rate as the inputs, the pedal opening degree was output to achieve precise tracking of the vehicle's target speed. The anti-slip control adopted the PID algorithm based on slip rate deviation to adjust motor driving torque and effectively suppress wheel slippage. To solve the problems of steering deviation caused by torque differences, the “coaxial low selection” principle was proposed to achieve the coordination of torques of coaxial wheels and ensure driving stability. The simulation results show that the errors of this model are less than 0.5% in speed control. Without the application of anti-slip control, the slip rate of the vehicle wheels and the driving torque show obvious fluctuations, verifying the necessity of anti-slip control measures. Under the conditions of low adhesion coefficient and mating road surface, the system may achieve stable control of slip rate and improvement of acceleration performance. Compared with sliding mode control, the results of experiments show that the PID control performs better in terms of control accuracy and system stability. Under the conditions of open road surfaces, the torque coordination module unifies the torque of coaxial wheels through the “coaxial low selection” strategy, effectively avoiding steering deviations and enhancing the vehicle's handling stability.

Key words: virtual rail train, distributed drive, driver model, drive anti-slip control, slip rate, torque coordination control

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