防滑控制策略对机车车轮的损伤影响研究

doi:10.3901/JME.2023.22.369

机械工程学报 ›› 2023, Vol. 59 ›› Issue (22): 369-379.doi: 10.3901/JME.2023.22.369

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防滑控制策略对机车车轮的损伤影响研究

郭欣茹¹, 杨云帆¹, 凌亮¹, 陈哲^1,2, 王开云¹, 翟婉明¹

1. 西南交通大学牵引动力国家重点实验室成都 610031;
2. 中车株洲电力机车有限公司株洲 412001

收稿日期:2022-12-08 修回日期:2023-03-06 出版日期:2023-11-20 发布日期:2024-02-19
通讯作者: 凌亮(通信作者)，男，1986年出生，博士，研究员。主要研究方向为车辆-轨道相互作用与行车安全控制。E-mail：liangling@swjtu.edu.cn
作者简介:郭欣茹，女，1997年出生。主要研究方向为车辆系统动力学。E-mail：guoxinru325@163.com
基金资助:
国家自然科学基金资助项目(U2268210,52072317,51825504)。20221208

Effect of Anti-slip Control Strategy on Locomotive Wheel Tread Damage

GUO Xinru¹, YANG Yunfan¹, LING Liang¹, CHEN Zhe^1,2, WANG Kaiyun¹, ZHAI Wanming¹

1. State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031;
2. CRRC Zhuzhou Locomotive Co., Ltd., Zhuzhou 412001

Received:2022-12-08 Revised:2023-03-06 Online:2023-11-20 Published:2024-02-19

摘要/Abstract

摘要： 在低黏着轮轨接触条件下重载机车车轮易出现空转或打滑现象，因此重载机车一般配置防滑控制模块。提出一种基于扰动观测的最优阈值PID防滑控制模型；基于车辆-轨道耦合动力学理论，建立重载列车-轨道三维耦合动力学模型，系统地对比在制动工况下，最优阈值PID防滑控制模型和传统再黏着防滑控制模型在不同轮轨接触界面黏着条件下的轮轨接触行为及对车轮踏面损伤的影响。研究结果表明，防滑控制模型对轮轨接触行为及车轮损伤影响显著；在制动和轮轨低黏着接触条件下车轮会发生打滑现象，此时防滑控制器会被触发；在低黏着接触条件下，相比于再黏着防滑控制策略，采用最优阈值PID防滑控制策略时轮轨黏着利用率更高，但会增大车轮踏面的滚动接触疲劳损伤。

关键词: 重载机车, 扰动观测器, 最优阈值PID防滑控制模型, 车辆-轨道耦合动力学, 车轮踏面损伤

Abstract: The heavy-haul locomotives are widely equipped with anti-slip control modules with an aim to preventing wheel slipping under poor wheel/rail adhesion conditions. An improved PID-based anti-slip controller with optimal control threshold is proposed in this study, in which the disturbance observation is employed to judge the wheel/rail friction conditions. A three-dimensional heavy-haul train-track interactional model is established based on the vehicle-rail coupled dynamics theory. The wheel-rail contact behaviour and wheel tread fatigue damage with respect to the proposed anti-slip controller and re-adhesion anti-slip controller are compared carefully with the changing wheel-rail adhesion conditions and braking loadings. The results show that the anti-slip control strategy is of great importance to wheel/rail contact behaviour and wheel surface damage. The anti-slip controller will be triggered once the powered wheelset slips under the low-adhesion conditions. The wheel-rail adhesion utilization of the PID-based anti-slip controller with optimal control threshold is higher than that of the re-adhesion anti-slip controller, whereas the wheel surface damage will be more serious with utilization of the improved anti-slip controller.

Key words: heavy-haul locomotive, disturbance observer, pid-based anti-slip controller with optimal control threshold, vehicle-track coupled dynamics, wheel tread damage

中图分类号:

U270

郭欣茹, 杨云帆, 凌亮, 陈哲, 王开云, 翟婉明. 防滑控制策略对机车车轮的损伤影响研究[J]. 机械工程学报, 2023, 59(22): 369-379.

GUO Xinru, YANG Yunfan, LING Liang, CHEN Zhe, WANG Kaiyun, ZHAI Wanming. Effect of Anti-slip Control Strategy on Locomotive Wheel Tread Damage[J]. Journal of Mechanical Engineering, 2023, 59(22): 369-379.

参考文献

[1] WANG W J, ZHANG H F, WANG H Y, et al. Study on the adhesion behavior of wheel/rail under oil, water and sanding conditions[J]. Wear, 2011, 217(9-10):2693-2698.
[2] WU B, WEN Z F, WANG H Y, et al. Numerical analysis on wheel/rail adhesion under mixed contamination of oil and water with surface roughness[J]. Wear, 2014, 314(1-2):140-147.
[3] ZHAI W M, JIN X S, WEN Z F, et al. Wear problems of high-speed wheel/rail systems:Observations, causes, and countermeasures in China[J]. Applied Mechanics Reviews, 2020, 72(6):060801.
[4] 何静,刘建华,张昌凡. 重载机车轮轨黏着利用技术研究综述[J]. 铁道学报, 2018, 40(9):30-39. HE Jing, LIU Jianhua, ZHANG Changfan. An overview on wheel-rail adhesion utilization of heavy-hual locomotive[J]. Journal of the China Railway Society, 2018, 40(9):30-39.
[5] LIN W L, LIU Z G, DIAO L J, et al. Maximum adhesion force control simulated model of electric locomotive[J]. IEEE Transactions on Industrial Electronics, 2007, 1-6:1704-1708.
[6] ZIREK A, VOLTR P, LATA M. Validation of an anti-slip control method based on the angular acceleration of a wheel on a roller rig[J]. Proceedings of the Institution of Mechanical Engineers, Part F:Journal of Rail and Rapid Transit, 2019, 234(9):1029-1040.
[7] ZIREK A, ONAT A. A novel anti-slip control approach for railway vehicles with traction based on adhesion estimation with swarm intelligence[J]. Railway Engineering Science, 2020, 28(4):346-364.
[8] SADR S, KHABURI D A, RODRIGUEZ J. Predictive slip control for electrical trains[J]. IEEE Transactions on Industrial Electronics, 2016, 63(6):3446-3457.
[9] 马天和,吴萌岭,田春. 基于黏着力观测器的列车空气制动防滑控制[J]. 同济大学学报(自然科学版). 2020, 48(11):1668-1675. MA Tianhe, WU Mengling, TIAN Chun. Anti-skid control based on adhesion force observer for train pneumatic braking[J]. Journal of Tongji University (Natural Science), 2020, 48(11):1668-1675.
[10] WARD C P, GOODALL R M, DIXON R, et al. Adhesion estimation at the wheel-rail interface using advanced model-based filtering[J]. Vehicle System Dynamics, 2012, 50(12):1797-1816.
[11] HUSSAIN I, MEI T X, RITCHINGS R T. Estimation of wheel-rail contact conditions and adhesion using the multiple model approach[J]. Vehicle System Dynamics, 2013, 51(1):32-53.
[12] SHRESTHA S, WU Q, SPIRYAGIN M. Review of adhesion estimation approaches for rail vehicles[J]. International Journal of Rail Transportation, 2019, 7(2):79-102.
[13] SPIRYAGIN M, WOLFS P, SZANTO F, et al. Simplified and advanced modelling of traction control systems of heavy-haul locomotives[J]. Vehicle System Dynamics, 2015, 53(5):672-691.
[14] TIAN Y, LIU S, DANIEL W J T, et al. Investigation of the impact of locomotive creep control on wear under changing contact conditions[J]. Vehicle System Dynamics, 2015, 53(5):692-709.
[15] TAO G Q, WEN Z F, GUAN Q H, et al. Locomotive wheel wear simulation in complex environment of wheel-rail interface[J]. Wear, 2019, 430:214-221.
[16] SHRESTHA S, SPIRYAGIN M, WU Q. Friction condition characterization for rail vehicle advanced braking system[J]. Mechanical Systems and Signal Processing, 2019, 134:106324.
[17] POLACH O. Creep forces in simulations of traction vehicles running on adhesion limit[J]. Wear, 2005, 258(7-8):992-1000.
[18] YANG Y F, GUO X R, SUN Y, et al. Non-hertzian contact analysis of heavy-haul locomotive wheel/rail dynamic interactions under changeable friction conditions[J]. Vehicle System Dynamics, 2022, 60(12):2167-2189.
[19] 翟婉明. 车辆-轨道耦合动力学[M]. 4版. 北京:科学出版社, 2015. ZHAI Wanming. Vehicle-track coupled dynamics[M]. 4th ed. Beijing:Science Press, 2015.
[20] 王开文. 车轮接触点迹线及轮轨接触几何参数的计算[J]. 西南交通大学学报, 1984(1):89-99. WANG Kaiwen. The track of wheel contact points and the calculation of wheel/rail geometric contact parameters[J]. Journal of Southwest Jiaotong University, 1984(1):89-99.
[21] SPIRYAGIN M, POLACH O, COLE C. Creep force modelling for rail traction vehicles based on the Fastsim algorithm[J]. Vehicle System Dynamics, 2013, 51(11):1765-1783.
[22] DIRKS B, ENBLOM R. Prediction model for wheel profile wear and rolling contact fatigue[J]. Wear, 2011, 271(1-2):210-217.

防滑控制策略对机车车轮的损伤影响研究

Effect of Anti-slip Control Strategy on Locomotive Wheel Tread Damage

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