[Oral Presentation]Multi-objective Optimization for the Levitation System of the Electrodynamic Suspension Train with HTS Magnets

IMPORTANT DATES

Deadline for digest submission: Jan, 31, 2021
Notification of acceptance: Mar, 10, 2021
Full paper submission: May, 31, 2021

Multi-objective Optimization for the Levitation System of the Electrodynamic Suspension Train with HTS Magnets

ID：308 Submission ID：308 View Protection：ATTENDEE Updated Time：2021-06-29 15:07:28 Hits：889 Oral Presentation

Start Time：2021-07-02 10:10 （Asia/Shanghai）

Duration：20min

Session：[S1] Concurrent Session 1 » [S1-3] Oral Session 11 & 14

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Abstract

The suspension system of the electrodynamic suspension (EDS) train is optimized in order to improve the stable suspension height under the unit superconducting coil (SC coil) area，reduce the horizontal resistance density and the ohmic loss both generated by the induced current in the levitation/guidance coils (LG coils). Firstly, the model of suspension system is erected by dynamic circuit theory (DCT). Then the optimization model is constructed based on the forbearing stratified sequencing method (FSSM), and the constrained optimization problem is solved by the particle swarm optimization (PSO). Finally, the performance of the optimized system is analyzed, and the finite-element method (FEM) is used to ensure the accuracy of analytical calculation, proving the efficiency of the optimization algorithm.

Keywords

Multi-objective optimization， electrodynamic suspension train， high-temperature superconducting material， forbearing stratified sequencing method， particle swarm optimization

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