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

Authors :
Baginski, Michael E.
Lu, Hai
Caudle, Byron T.
Kirkici, Huyla
Source :
IEEE Transactions on Plasma Science; Aug2013 Part 3, Vol. 41 Issue 8, p2408-2414, 7p
Publication Year :
2013

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. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
00933813
Volume :
41
Issue :
8
Database :
Complementary Index
Journal :
IEEE Transactions on Plasma Science
Publication Type :
Academic Journal
Accession number :
89659321
Full Text :
https://doi.org/10.1109/TPS.2013.2257671