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14 February 2024 Maximum adhesion point search method of high-speed train based on fuzzy logic
Ziyang Dai, Jingchun Huang, Yifan Yang, Yiyuan Chen
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Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130185C (2024) https://doi.org/10.1117/12.3024011
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China
Abstract
In order to achieve the optimal adhesion utilization of high-speed trains, this paper designs the optimal creep speed search method. Firstly, the wheel speed and motor torque are used to estimate the current adhesion coefficient; secondly, the estimated adhesion coefficient and creep speed are calculated by fuzzy logic to get the adjustment coefficient of creep speed search; then the dynamic creep speed search method is used to get the reference creep speed needed for the current adhesion control, and finally, combined with the PI controller, the tracking of the train on the reference creep speed is realized through the control of motor torque. In order to verify the effectiveness of the designed method, a single-axle train traction dynamics model is established on the MATLAB/Simulink simulation platform for simulation verification. The results show that the search method can find the optimal creep speed quickly and accurately and realize the tracking control of high-speed trains under the switching of dry and wet track surface states.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Ziyang Dai, Jingchun Huang, Yifan Yang, and Yiyuan Chen "Maximum adhesion point search method of high-speed train based on fuzzy logic", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130185C (14 February 2024); https://doi.org/10.1117/12.3024011
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KEYWORDS
Adhesion
Fuzzy logic
Control systems
Adhesives
Modeling
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