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| Speed tracking control of high-speed train based on improved fuzzy sliding mode control |
Junrui JIA1( ),Guangwu CHEN1,*( ),Jianqiang SHI1,Zhuang KANG2,Dong WANG1,Limin JIA3 |
1. School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China 2. School of Information and Cybersecurity, Ningxia University, Zhongwei 755000, China 3. State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing 100044, China |
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Abstract A double-hierarchical interval-type-2 fuzzy sliding mode controller was proposed to address poor tracking accuracy and low robustness of high-speed trains under complex operating environments. In the upper-layer design, an adaptive switching gain based on an interval-type-2 fuzzy logic system was developed, whereby precise estimation of external disturbances was achieved through compensating for the uncertainties of membership functions. For the lower-layer control, a hyperbolic-exponential composite power reaching law was employed, and a continuous smooth function was constructed to replace the traditional sign function. Consequently, the discontinuous switching of the control input was successfully eliminated while the fast convergence characteristics of the power reaching law were effectively retained. A simulation was conducted based on actual data of the CRH380A high-speed train running on the Suzhou North–Shanghai Hongqiao section. The velocity and displacement tracking errors of the proposed controller were 0.000 005 m/s and 0.002 82 m, respectively, achieving high-precision tracking of the target trajectory throughout the operation.
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Received: 31 August 2025
Published: 16 October 2026
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| Fund: 国铁集团科技计划项目(N2024G056);甘肃省自然科学基金资助项目(24JRRA252);甘肃省优秀博士生资助项目(23JRRA912). |
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Corresponding Authors:
Guangwu CHEN
E-mail: JJR807C@163.com;cgwyjh1976@163.com
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基于改进模糊滑模控制的高速列车速度跟踪控制
针对高速动车组在复杂运行环境下跟踪精度差与鲁棒性低的问题,提出双层区间二型模糊滑模控制器. 上层基于区间二型模糊逻辑系统设计自适应切换增益,通过处理隶属度函数的不确定性实现对外部干扰的精准估计;下层设计双曲-指数复合幂次趋近律,构造连续光滑函数替代传统符号函数,在保留幂次趋近律快速收敛特性的同时消除控制输入的不连续切换. 以CRH380A型高速动车组在苏州北-上海虹桥路段的实际运行数据为基础进行仿真验证. 仿真结果表明,所提控制器速度与位移的跟踪误差分别为0.000 005 m/s和0.002 82 m,实现了对目标曲线的全时段高精度跟踪.
关键词:
铁路运输,
速度跟踪控制,
滑模控制,
高速列车,
区间二型模糊逻辑系统,
列车运行干扰
|
|
| [1] |
宁滨, 董海荣, 郑伟, 等 高速铁路运行控制与动态调度一体化的现状与展望[J]. 自动化学报, 2019, 45 (12): 2208- 2217 NING Bin, DONG Hairong, ZHENG Wei, et al Integration of train control and online rescheduling for high-speed railways: challenges and future[J]. Acta Automatica Sinica, 2019, 45 (12): 2208- 2217
doi: 10.16383/j.aas.2019.y000004
|
|
|
| [2] |
陆源源, 王慧, 宋春跃 考虑列车混行的运行-调度一体化优化方法[J]. 浙江大学学报: 工学版, 2018, 52 (1): 106- 116 LU Yuanyuan, WANG Hui, SONG Chunyue Integrated optimization method of scheduling and control in express/slow train[J]. Journal of Zhejiang University: Engineering Science, 2018, 52 (1): 106- 116
|
|
|
| [3] |
张友鹏, 王小天, 杨军霞, 等 基于有限时间干扰观测器的高速列车非奇异终端滑模协同控制[J]. 铁道科学与工程学报, 2025, 22 (3): 967- 978 ZHANG Youpeng, WANG Xiaotian, YANG Junxia, et al Non-singular terminals sliding mode cooperative control of high-speed train based on finite-time disturbance observer[J]. Journal of Railway Science and Engineering, 2025, 22 (3): 967- 978
doi: 10.19713/j.cnki.43-1423/u.T20240860
|
|
|
| [4] |
GUO X G, AHN C K Adaptive fault-tolerant pseudo-PID sliding-mode control for high-speed train with integral quadratic constraints and actuator saturation[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 22 (12): 7421- 7431
doi: 10.1109/TITS.2020.3002550
|
|
|
| [5] |
YUAN Z, YAN L, GAO Y, et al Virtual parameter learning-based adaptive control for protective automatic train operation[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 22 (12): 7943- 7954
doi: 10.1109/TITS.2021.3066447
|
|
|
| [6] |
李中奇, 孙鹏昕, 杨辉, 等 重载列车离散积分终端滑模预测控制[J]. 控制理论与应用, 2025, 42 (2): 235- 244 LI Zhongqi, SUN Pengxin, YANG Hui, et al Discrete integral terminal sliding mode predictive control for heavy haul train[J]. Control Theory and Applications, 2025, 42 (2): 235- 244
doi: 10.7641/CTA.2024.30700
|
|
|
| [7] |
LIU Y, FAN K, OUYANG Q Intelligent traction control method based on model predictive fuzzy PID control and online optimization for permanent magnetic maglev trains[J]. IEEE Access, 2021, 9: 29032- 29046
doi: 10.1109/ACCESS.2021.3059443
|
|
|
| [8] |
PU Q, ZHU X, ZHANG R, et al Speed profile tracking by an adaptive controller for subway train based on neural network and PID algorithm[J]. IEEE Transactions on Vehicular Technology, 2020, 69 (10): 10656- 10667
doi: 10.1109/TVT.2020.3019699
|
|
|
| [9] |
余琼霞, 候怡腾, 孙俊杰, 等 高速列车受限自适应有限次迭代学习容错控制[J]. 交通运输系统工程与信息, 2024, 24 (3): 140- 150 YU Qiongxia, HOU Yiteng, SUN Junjie, et al Constrained adaptive finite-iteration learning fault-tolerant control for high-speed train[J]. Journal of Transportation Systems Engineering and Information Technology, 2024, 24 (3): 140- 150
doi: 10.16097/j.cnki.1009-6744.2024.03.014
|
|
|
| [10] |
XUE J Z, ZHAO T, BU N, et al Speed tracking control of high-speed train based on adaptive control and linear active disturbance rejection control[J]. Transactions of the Institute of Measurement and Control, 2023, 45 (10): 1896- 1909
doi: 10.1177/01423312221146600
|
|
|
| [11] |
侯涛, 唐丽, 牛宏侠 基于数据驱动的高速列车速度复合控制研究[J]. 交通运输系统工程与信息, 2023, 23 (3): 145- 152 HOU Tao, TANG Li, NIU Hongxia Data-driven speed compound control of high-speed train[J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23 (3): 145- 152
doi: 10.16097/j.cnki.1009-6744.2023.03.016
|
|
|
| [12] |
WANG L, WANG X, SHENG Z, et al Model predictive controller based on online obtaining of softness factor and fusion velocity for automatic train operation[J]. Sensors, 2020, 20 (6): 1719
doi: 10.3390/s20061719
|
|
|
| [13] |
侯涛, 魏建鹏, 牛宏侠 基于预设非奇异终端滑模控制的高速列车速度控制研究[J]. 铁道科学与工程学报, 2025, 22 (1): 38- 50 HOU Tao, WEI Jianpeng, NIU Hongxia Speed control of high-speed train based on preset nonsingular terminal sliding mode control[J]. Journal of Railway Science and Engineering, 2025, 22 (1): 38- 50
doi: 10.19713/j.cnki.43-1423/u.T20240483
|
|
|
| [14] |
WU L, LIU J, VAZQUEZ S, et al Sliding mode control in power converters and drives: a review[J]. IEEE/CAA Journal of Automatica Sinica, 2022, 9 (3): 392- 406
doi: 10.1109/JAS.2021.1004380
|
|
|
| [15] |
于瑞, 徐雪峰, 周华, 等 基于改进切换增益自适应率的欠驱动USV滑模轨迹跟踪控制[J]. 浙江大学学报: 工学版, 2022, 56 (3): 436- 443 YU Rui, XU Xuefeng, ZHOU Hua, et al Improved switching-gain adaptation based sliding mode control for trajectory tracking of underactuated unmanned surface vessels[J]. Journal of Zhejiang University: Engineering Science, 2022, 56 (3): 436- 443
doi: 10.3785/j.issn.1008-973X.2022.03.002
|
|
|
| [16] |
ZHANG T, KONG X Adaptive fault-tolerant sliding mode control for high-speed trains with actuator faults under strong winds[J]. IEEE Access, 2020, 8: 143902- 143919
doi: 10.1109/ACCESS.2020.3014199
|
|
|
| [17] |
YAO X, PARK J H, DONG H, et al Robust adaptive nonsingular terminal sliding mode control for automatic train operation[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 49 (12): 2406- 2415
doi: 10.1109/TSMC.2018.2817616
|
|
|
| [18] |
MARTÍNEZ-FUENTES C A, PÉREZ-VENTURA U, FRIDMAN L Chattering analysis for Lipschitz continuous sliding-mode controllers[J]. International Journal of Robust and Nonlinear Control, 2021, 31 (9): 3779- 3794
doi: 10.1002/rnc.5239
|
|
|
| [19] |
韩兆玉, 徐传芳, 高晨旺 基于RBFNN的高速列车分数阶滑模速度跟踪控制[J]. 铁道科学与工程学报, 2026, 23 (2): 542- 550 HAN Zhaoyu, XU Chuanfang, GAO Chenwang Fractional-order sliding mode speed tracking control of high-speed train based on RBFNN[J]. Journal of Railway Science and Engineering, 2026, 23 (2): 542- 550
doi: 10.19713/j.cnki.43-1423/u.T20250597
|
|
|
| [20] |
康庄, 贾利民, 秦勇 一种新的模糊滑模控制器设计方法[J]. 控制与决策, 2024, 39 (6): 1909- 1917 KANG Zhuang, JIA Limin, QIN Yong A new design method of fuzzy sliding mode controller[J]. Control and Decision, 2024, 39 (6): 1909- 1917
doi: 10.13195/j.kzyjc.2022.1771
|
|
|
| [21] |
康庄, 贾利民, 秦勇 基于改进模糊滑模控制的列车速度跟踪研究[J]. 铁道学报, 2024, 46 (4): 97- 107 KANG Zhuang, JIA Limin, QIN Yong Research on train speed tracking based on improved fuzzy sliding mode control[J]. Journal of the China Railway Society, 2024, 46 (4): 97- 107
doi: 10.3969/j.issn.1001-8360.2024.04.011
|
|
|
| [22] |
KIM H S, HWANG S, JOO Y H Interval type-2 fuzzy-model-based fault-tolerant sliding mode tracking control of a quadrotor UAV under actuator saturation[J]. IET Control Theory and Applications, 2020, 14 (20): 3663- 3675
doi: 10.1049/iet-cta.2020.0521
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