A genetic algorithm for designing LCLC resonant converters

Williams, D and Foster, M P and Bingham, Chris and Stone, D A (2008) A genetic algorithm for designing LCLC resonant converters. In: Power Electronics, Machines and Drives, 2008. PEMD 2008. 4th IET Conference on, 2-4 April 2008, University of York UK.

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A genetic algorithm for designing LCLC resonant converters
This paper describes an automated method for designing LCLC resonant power converters using genetic algorithms. Development of a suitable fitness function using fundamental mode approximation equivalent circuit to model the converter in place of more computationally intensive simulations, is detailed. The use of this function in a binary genetic algorithm to provide realisable converter designs featuring components restricted to the E24 preferred values, is provided.
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Abstract

This paper describes an automated method for designing LCLC resonant power converters using genetic algorithms. Development of a suitable fitness function using fundamental mode approximation equivalent circuit to model the converter in place of more computationally intensive simulations, is detailed. The use of this function in a binary genetic algorithm to provide realisable converter designs featuring components restricted to the E24 preferred values, is provided.

Item Type:Conference or Workshop Item (Presentation)
Additional Information:This paper describes an automated method for designing LCLC resonant power converters using genetic algorithms. Development of a suitable fitness function using fundamental mode approximation equivalent circuit to model the converter in place of more computationally intensive simulations, is detailed. The use of this function in a binary genetic algorithm to provide realisable converter designs featuring components restricted to the E24 preferred values, is provided.
Keywords:Resonant power conversion, Genetic Algorithms
Subjects:H Engineering > H610 Electronic Engineering
Divisions:College of Science > School of Engineering
ID Code:2406
Deposited By:INVALID USER
Deposited On:01 May 2010 19:47
Last Modified:18 Jul 2011 16:23

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