Genetic Optimization for Pulsed-Power System Configuration

Pulsed-power systems traditionally have been designed to provide a pulse that is non programmable or requires hardware modifications to adjust the output waveform shape. Advancements in pulsed-power technologies are enabling system designs that allow for greater flexibility such as programmable curr...

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Bibliographic Details
Published in:IEEE transactions on plasma science 2009-02, Vol.37 (2), p.339-346
Main Authors: Glover, S.F., White, F.E., Reed, K.W., Harden, M.J.
Format: Article
Language:English
Subjects:
Complex systems
Control systems
Current adding
current control
Curve fitting
equation of state (EOS)
Equations
Exact sciences and technology
genetic algorithms (GAs)
Genetics
Hardware
identification
isentropic compression
Manuals
Materials science and technology
modeling
Optimization
Physics
Physics of gases
Physics of gases, plasmas and electric discharges
Plasma
programmable control
Pulse shaping methods
pulsed power
Shape
Simulation
System analysis and design
Thermodynamic properties, equations of state
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Summary:Pulsed-power systems traditionally have been designed to provide a pulse that is non programmable or requires hardware modifications to adjust the output waveform shape. Advancements in pulsed-power technologies are enabling system designs that allow for greater flexibility such as programmable current shaping. Material science, which uses current pulse shaping to obtain data for the equation of state analysis, is driving much of this work. The programming of pulsed-power systems through the use of simulations and manual curve fitting techniques can work well for systems that only have a few controllable parameters and are generating waveforms with simple spectral content. Complex systems with many controllable parameters become unmanageable for manual trial and error to be effective. This paper discusses the characterization and modeling of a scaled down programmable current adder directed at investigating technical issues that will be encountered in full-scale drivers. A discussion of the procedure used to optimize the adder current output, using genetic algorithms, is presented. The approach to system programmability presented in this paper will allow for a more simplified user interface and system control, as the requirements for flexibility and complexity in future systems increase.
ISSN:0093-3813
1939-9375
DOI:10.1109/TPS.2008.925637