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

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4 Author(s)
Baginski, M.E. ; Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA ; Lu, H. ; Caudle, B.T. ; Kirkici, H.

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.

Published in:

Plasma Science, IEEE Transactions on  (Volume:41 ,  Issue: 8 )

Date of Publication:

Aug. 2013

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