Title :
Binary tree structure modeling method of DC/DC power converters
Author :
Zhu, Miao ; Luo, Fang Lin
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ.
Abstract :
This paper illustrates a general modeling method for dc/dc power converters, which is termed averaging binary tree structure models. The proposed method, based on the switching signal flow graph (SSFG) models, can describe the converters as a binary tree structure. The 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 modeling for 2nd order dc/dc converters, which shows the advantages of high convenience and practicability without the tedious analysis caused by Mason´s rules or graph reduction techniques, compared with the conventional SSFG modeling. Experimental observations are provided to validate the proposed algorithm
Keywords :
DC-DC power convertors; signal flow graphs; trees (mathematics); DC-DC power converters; Mason´s rules; averaging binary tree structure model; complex flow graph system; graph reduction techniques; switching signal flow graph model; Binary trees; Circuits; DC-DC power converters; Feedback loop; Flow graphs; Mathematical model; Power engineering and energy; Power system modeling; Switching converters; Transfer functions;
Conference_Titel :
Electrical Machines and Systems, 2005. ICEMS 2005. Proceedings of the Eighth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
7-5062-7407-8
DOI :
10.1109/ICEMS.2005.202754