Title :
Graphical Analytical Method for Power DC–DC Converters: Averaging Binary Tree Structure Representation
Author :
Zhu, Miao ; Luo, Fang Lin
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
fDate :
3/1/2007 12:00:00 AM
Abstract :
This letter illustrates a general analytical method for power dc-dc converters called averaging binary tree structure representation. The proposed method, based on switching signal flow graph (SSFG) models, describes the converters as a binary tree structure. General construction principles of the binary tree for the complex flow graph system are summarized and developed. The proposed method has been applied to the analysis for second-order dc-dc converters. It shows the advantages of high convenience and practicability compared with conventional SSFG analytical methods. Simulation and experimental observations are provided to validate the proposed algorithm
Keywords :
DC-DC power convertors; flow graphs; trees (mathematics); averaging binary tree structure representation; graphical analytical method; power DC-DC converters; switching signal flow graph models; Binary trees; Circuit topology; Design methodology; Feedback loop; Flow graphs; Helium; Performance analysis; Power system modeling; Switching converters; Tree graphs; Binary tree; dc–dc converter; modeling; switching signal flow graph (SSFG);
Journal_Title :
Power Electronics, IEEE Transactions on
DOI :
10.1109/TPEL.2007.892432
