DocumentCode :
2223661
Title :
Quasi-state variable method for precise modeling of DC-DC converter circuits
Author :
Nakano, Motomu ; Iijima, Yukihisa ; Chin, Tung-Hai
Author_Institution :
Fac. of Sci. & Technol., Sophia Univ., Tokyo, Japan
fYear :
1993
fDate :
15-19 Nov 1993
Firstpage :
1331
Abstract :
For modeling DC-DC power converter circuits, the state space averaging method is the representative method. However, its application field is restricted to small amplitude operation and is rather narrow. For large amplitude operation of a DC-DC power converter, a novel approach is proposed which composes the state equations by taking the initial values of the circuit variables at the starting point of each switching period as the state variables. All instantaneous values of the current and the voltage within each switching period can be represented by a linear combination of the initial values. So, discrete space state equations can be formulated, and all kinds of information about circuit operation such as average values, waveform envelopes and instantaneous values at an arbitrary instant are given. The solution can be calculated with an accuracy as high as one desires, without excessive work
Keywords :
matrix algebra; network analysis; power convertors; state-space methods; switching circuits; DC-DC power converters; accuracy; average values; circuit modeling; current; discrete space state equations; instantaneous values; large amplitude operation; matrices; quasi-state variable method; state equations; switching period; voltage; waveform envelopes; DC-DC power converters; Equations; Inductors; Matrix converters; Space technology; State-space methods; Switches; Switching circuits; Switching converters; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-7803-0891-3
Type :
conf
DOI :
10.1109/IECON.1993.339260
Filename :
339260
Link To Document :
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