Abstract
The suspension system of the electrodynamic suspension (EDS) train with high temperature superconducting (HTS) magnets is optimized in this paper. Firstly, the suspension system is modeled by dynamic circuit theory. 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). Moreover, the performance of the optimized system is analyzed, and the finite-element method (FEM) is used to validate the effectiveness of the analytical calculation. Finally, the optimization results achieve the goals of improving the stable suspension height under the unit superconducting coil (SC coil) area, reducing the horizontal resistance density and ohmic loss both generated by the induced current in levitation/guidance coils (LG coils). Besides, the higher computation efficiency of the optimization algorithm can be observed.
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