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
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;
Journal_Title :
Plasma Science, IEEE Transactions on
DOI :
10.1109/TPS.2013.2257671