DocumentCode
2634401
Title
Optimal Design of DC-DC Converter with LC Snubber by Hybrid Method
Author
Chen, C.K. ; Huang, C.K. ; Nien, H.H. ; Changchien, S.K. ; Chan, C.H. ; Wu, S.Y.
Author_Institution
Dept. of Electr. Eng., Chienkou Technol. Univ., Changhua
fYear
2008
fDate
18-20 June 2008
Firstpage
166
Lastpage
166
Abstract
In this paper, it is first proposed that genetic algorithm and Taguchi method can be employed in the optimal design of DC-DC converter with LC snubber. The purpose of this optimal design is to lower the spike voltage Vdsp of power switch and hence reduce the cost in manufacturing circuit. It is great educational value for students and engineers. For the first step, we investigate the circuit parameters which will affect Vd and subsequently converge the range of circuit parameter value by means of genetic algorithm, and conduct the optimal design of prototype converter with Taguchi method. Compared with spike voltage Vdsp of non-optimal design circuit, the effect of optimal design is revealed. In suppressing spike voltage, the Vdsp measured from optimal design circuit is 115 V, and is actually 28.1% reduced. Therefore, using genetic algorithm and Taguchi method in the optimal design of converter with LC snubber is a more economic, practical and efficient of circuit design, which meanwhile can be easily applied to other electronic circuits and accomplish the optimal design of various quality characteristics.
Keywords
DC-DC power convertors; Taguchi methods; genetic algorithms; snubbers; DC-DC converter; LC snubber; Taguchi method; circuit parameters; genetic algorithm; hybrid method; manufacturing circuit; nonoptimal design circuit; spike voltage; Algorithm design and analysis; Circuits; Cost function; DC-DC power converters; Design engineering; Digital signal processing; Genetic algorithms; Manufacturing; Snubbers; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location
Dalian, Liaoning
Print_ISBN
978-0-7695-3161-8
Electronic_ISBN
978-0-7695-3161-8
Type
conf
DOI
10.1109/ICICIC.2008.653
Filename
4603355
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