Plasma and Fusion Research

Volume 15, 2405050 (2020)

Regular Articles

Current Distribution Optimization in Electromagnet: Application to Superconducting Linear Acceleration System
Takazumi YAMAGUCHI1), Teruou TAKAYAMA2), Atsushi KAMITANI2) and Hiroaki OHTANI1,3)
1)
The Graduate University for Advanced Studies (SOKENDAI), Toki 509-5292, Japan
2)
Yamagata University, Yonezawa 992-8510, Japan
3)
National Institute for Fusion Science, Toki 509-5292, Japan
(Received 29 November 2019 / Accepted 31 May 2020 / Published 15 July 2020)

Abstract

The current distribution in the electromagnet is optimized so as to maximize the acceleration performance of a superconducting linear acceleration (SLA) system. As a novel pellet injection system for a fusion reactor, the SLA system has been proposed recently. The SLA system is composed of the electromagnet and the pellet container to which a high-temperature superconducting (HTS) film is attached. The pellet container is accelerated by using the Lorentz force between the HTS film and the electromagnet. In the present study, the current distribution in the electromagnet is represented as a set of the filaments by the on-off method. Moreover, the current distribution optimization is performed by using the non-dominated sorting genetic algorithm II (NSGA-II). Furthermore, the dynamic motion of the pellet container is determined by solving the equivalent-circuit model and Newton's equation of motion. According to the numerical results, the acceleration performance is improved by partly applying the electric current to the electromagnet. Compared with the case of the homogeneous current distribution, the pellet velocity for the optimized current distribution increases by 26%.

Keywords

accelerator magnet, current distribution optimization, equivalent-circuit model, high-temperature superconductor, NSGA-II, on-off method

DOI: 10.1585/pfr.15.2405050

Full Text

PDF format (774Kbytes) PDF Download

References

  • [1] P.B. Parks and R.J. Turnbull, Phys. Fluids 21, 1735 (1978).
  • [2] S.L. Milora and C.A. Foster, IEEE Trans. Plasma Sci. 6, 578 (1978).
  • [3] T. Yamaguchi, T. Takayama, A. Saitoh and A. Kamitani, IEEE Trans. Magn. 55, 7204305 (2019).
  • [4] T. Yamaguchi, T. Takayama, A. Saitoh and A. Kamitani, J. Adv. Simulat. Sci. Eng. 4, 209 (2017).
  • [5] Y. Hidaka, T. Sato and H. Igarashi, IEEE Trans. Magn. 50, 7015204 (2014).
  • [6] E.H. Brandt, Phys. Rev. B 54, 4246 (1996).
  • [7] A. Kamitani, T. Takayama and S. Ikuno, IEEE. Trans. Magn. 44, 926 (2008).
  • [8] W.H. Press, S.A. Teukolsky, W.T. Vetterling and B.P. Flannery, Numerical Recipes in Fortran 77, 2nd ed. (Cambridge University Press, New York, 1992) Chap. 16.
  • [9] K. Deb, A. Pratap, S. Agarwal and T. Meyarivan, IEEE Trans. Evol. Comput. 6, 182 (2002).