• DocumentCode
    57503
  • Title

    Optimal Design of an N-Stage Nonlinear Transmission Line Based on Genetic Algorithm and LTspice

  • Author

    Baginski, Michael E. ; Lu, Hai-Han ; Caudle, Byron T. ; Kirkici, Hulya

  • Author_Institution
    Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA
  • Volume
    41
  • Issue
    8
  • fYear
    2013
  • fDate
    Aug. 2013
  • Firstpage
    2408
  • Lastpage
    2414
  • Abstract
    In this paper, we discuss a theoretical optimal design of a nonlinear transmission line using a genetic algorithm (GA) to achieve peak pulse power. The technique is based on an integrated optimization approach that uses a GA coded in Matlab and the circuit simulation program LTspice. A bidirectional interface is created that allowed information to be rapidly transferred between the circuit simulator and GA with real-time monitoring of the entire design process, including peak power and elemental values. The designed process shows a peak voltage enhancement of 318% while eliminating the tedious trial and error process usually required. It is important to note that this result is achieved using only six L-C segments and a much greater voltage increase is likely as the number of segments is increased.
  • Keywords
    Nonlinear circuits; Pulse compression methods; Pulse power systems; Nonlinear circuits; pulse compression methods; pulse power systems;
  • fLanguage
    English
  • Journal_Title
    Plasma Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-3813
  • Type

    jour

  • DOI
    10.1109/TPS.2013.2257671
  • Filename
    6515355