文献类型：期刊文献

英文题名：Multiobjective Optimization of Superconducting Linear Motor Considering General Racetrack Coils

作者：Zhao, Zhengwei[1];Yang, Wenjiao[1];Yan, Zhaoying[1];Jia, Baozhu[1];Xu, Yuanyuan[1];Luo, Jun[2]

机构：[1]Guangdong Ocean Univ, Maritime Coll, Zhanjiang 524088, Peoples R China;[2]Southwest Jiaotong Univ, Appl Superconduct Lab, State Key Lab Rail Transit Vehicle Syst, Chengdu 610031, Peoples R China

年份：2024

卷号：34

期号：9

起止页码：1

外文期刊名：IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY

收录：SCI-EXPANDED(收录号：WOS:001316196400001)、、EI(收录号：20243616983023)、Scopus(收录号：2-s2.0-85202747874)、WOS

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 52071090, in part by the Natural Science Foundation of Guangdong Province under Grant 2023A1515012056, in part by the Ocean Youth Talent Innovation Project of Zhanjiang under Grant 2022E05001, and in part by the program for scientific research start-up funds of Guangdong Ocean University under Grant 060302132307

语种：英文

外文关键词：Automobiles; Optimization; Superconducting coils; Analytical models; Superconducting magnets; Magnetic fields; Windings; Electrodynamic suspension (EDS); optimization; racetrack coil; superconducting linear synchronous motor (SLSM); thrust ripple

外文摘要：To improve the ride comfort of an electrodynamic suspension (EDS) train on the Yamanashi test line, an optimization of the air-cored superconducting linear synchronous motor (SLSM) is conducted to reduce the thrust ripple, considering the geometry of general racetrack coils. First, an analytical model based on general racetrack coils is given to calculate the thrust of the SLSM, which takes the elliptic effect edges into consideration. Second, combining the analytical model with the response surface method, a surrogate model is yielded to express the thrust with six variables. Third, the multiobjective optimization of the SLSM is carried out, taking the surrogate model as the fitness function of the genetic optimization algorithm. Fourth, the thrust ripple of the optimized SLSM is evaluated by finite-element models and compared with that of the original, considering the variable postures of the secondary resulting from the multi-degree-of-freedom motions of the EDS train. Finally, the optimization is verified by the measured thrust. Consequently, the thrust ripple of the SLSM is reduced by 49% with the invariant thrust and material consumption. In this work, an optimization of the SLSM is provided to enhance the comfort of the Yamanashi test line and the future EDS system.