DocumentCode :
1615901
Title :
Genetic Optimization for Pulsed Power System Configuration
Author :
Glover, S.F. ; Reed, K.W. ; White, F.E. ; Harden, M.J.
Author_Institution :
Sandia Nat. Lab., Albuquerque
fYear :
2007
Firstpage :
246
Lastpage :
246
Abstract :
Summary form only given. Pulsed power systems traditionally have been designed to provide a pulse that is nonprogrammable or requires hardware modifications to adjust the output shape. Advancements in pulsed power technologies are enabling system designs that allow for greater flexibility such as programmable current shaping. Much of this work is being driven by needs in material science which use current pulse shaping to obtain data for material equation of state analysis. Programming of pulsed power systems through the use of a simulation and a manual curve fitting approach can work well for systems that only have a few controllable parameters. More complex systems that have many controllable parameters become unmanageable from a manual trial-and-error perspective. This paper discusses an approach to the optimization of a current adder output through the use of genetic algorithms. The approach to system programmability presented herein will allow for more a simplified user interface and system control as the requirements for flexibility and complexity for systems of the future increase.
Keywords :
circuit optimisation; genetic algorithms; programmable circuits; pulse shaping; pulsed power technology; current adder; current pulse shaping; genetic optimization; programmable current shaping; pulsed power system configuration; Control systems; Equations; Genetics; Hardware; Materials science and technology; Power system simulation; Pulse power systems; Pulse shaping methods; Shape; System analysis and design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Plasma Science, 2007. ICOPS 2007. IEEE 34th International Conference on
Conference_Location :
Albuquerque, NM
ISSN :
0730-9244
Print_ISBN :
978-1-4244-0915-0
Type :
conf
DOI :
10.1109/PPPS.2007.4345552
Filename :
4345552
Link To Document :
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