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ISSN 2753-3239
ISSN 2753-3239
CCC: 15
PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE
PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE
Edited by: J. Pombo
Paper 11.17
Superconducting Electromagnetic Suspension Train Electromagnetic Force Calculation Model Based on BP Neural Network
J. Xu1,2, J. Xu1,2, H. Huang1,2, D. Gao1,2, M. Wang3 and W. Wu3
1College of Transportation, Tongji University, Shanghai, China
2State Key Lab of High Speed Maglev Transport Technology, Tongji University, Shanghai, China
3, China Railway Design Group Co., Ltd, China
Full Bibliographic Reference for this paper
J. Xu, J. Xu, H. Huang, D. Gao, M. Wang, W. Wu, "Superconducting Electromagnetic Suspension Train Electromagnetic Force Calculation Model Based on BP Neural Network", in J. Pombo, (Editor), "Proceedings of the Seventh International Conference on
Railway Technology:
Research, Development and Maintenance
",
Civil-Comp Press, Edinburgh, UK,
Online volume: CCC 15, Paper 11.17, 2026, doi:10.4203/ccc.15.11.17
Keywords: superconducting electrodynamic suspension, neural network, discrete Neumann formula, dynamic circuit, electromagnetic force calculation, mutual inductance partial derivative.
Abstract
In order to improve the calculation efficiency of electromagnetic force of superconducting electrodynamic suspension train, a fast calculation model of electromagnetic force based on BP neural network is proposed. The model takes the relative displacement between the vehicle superconducting coil and the ground suspension guide coil as the input, and the three-way mutual inductance partial derivative as the output. The mutual inductance partial derivative predicted by the neural network is substituted into the dynamic circuit equation to solve the induced current and calculate the three-way electromagnetic force. Through the simulation analysis of the electromagnetic force of the single suspension frame at different speeds, the results show that the method can improve the calculation efficiency while ensuring the calculation accuracy, and can provide an effective calculation method for the rapid simulation of the dynamics of the superconducting electrodynamic suspension train.
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