• DocumentCode
    1227808
  • Title

    Robust Optimization in HTS Cable Based on Design for Six Sigma

  • Author

    Liu, Xinying ; Wang, Shuhong ; Qiu, Jie ; Zhu, Jian Guo ; Guo, Youguang ; Lin, Zhi Wei

  • Author_Institution
    State Key Lab. of Electr. Insulation & Power Equip., Xi´´an Jiaotong Univ., Xi´´an
  • Volume
    44
  • Issue
    6
  • fYear
    2008
  • fDate
    6/1/2008 12:00:00 AM
  • Firstpage
    978
  • Lastpage
    981
  • Abstract
    The nonuniform ac current distribution among the multilayer conductors in a high-temperature superconducting (HTS) cable reduces the current capacity and increases the ac loss. Various numerical simulation techniques and optimization methods have been applied in structural optimization of HTS cables. While the existence of fluctuation in design variables or operation conditions has a great influence on the cable quality, in order to eliminate the effects of parameter perturbations in design and to improve the design efficiency, a robust optimization method based on design for six sigma (DFSS) is presented in this paper. The optimization results show that the proposed optimization procedure can not only achieve a uniform current distribution, but also improve significantly the reliability and robustness of the HTS cable quality, comparing with those by using the particle swarm optimization.
  • Keywords
    current distribution; high-temperature superconductors; particle swarm optimisation; superconducting cables; HTS cable; ac loss; cable quality; current capacity; high-temperature superconducting cable; multilayer conductors; nonuniform ac current distribution; numerical simulation techniques; parameter perturbations; particle swarm optimization; robust optimization method; six sigma; structural optimization; Current distribution; design for six sigma; high-temperature superconducting (HTS) cable; particle swarm optimization (PSO);
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2007.916279
  • Filename
    4526942