Optimal Design of DC-DC Converter with LC Snubber by Hybrid Method

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.

[1]  Ching-Jung Tseng,et al.  Passive lossless snubbers for DC/DC converters , 1998, APEC '98 Thirteenth Annual Applied Power Electronics Conference and Exposition.

[2]  Po-Yuan Chen,et al.  An efficient active LC snubber for multi-output converters with flyback synchronous rectifier , 2003, IEEE 34th Annual Conference on Power Electronics Specialist, 2003. PESC '03..

[3]  M. Jinno Efficiency improvement for SR forward converters with LC snubber , 2001 .

[4]  Keyue Smedley,et al.  Cross regulation in flyback converters: solutions , 1999, IECON'99. Conference Proceedings. 25th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.99CH37029).

[5]  Genichi Taguchi,et al.  Appendix A: Orthogonal Arrays and Linear Graphs: Tools for Quality Engineering , 2007 .

[6]  Zhe Chen,et al.  Genetic algorithms encoding study and a sufficient convergence condition of GAs , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[7]  J. Clegg,et al.  The use of a genetic algorithm to optimize the functional form of a multi-dimensional polynomial fit to experimental data , 2005, 2005 IEEE Congress on Evolutionary Computation.