DocumentCode :
1539413
Title :
Signal flow graph nonlinear modelling of interleaved converters
Author :
Veerachary, M. ; Senjyu, T. ; Uezato, K.
Author_Institution :
Dept. of Electr. & Electron. Eng., Ryukyus Univ., Okinawa, Japan
Volume :
148
Issue :
5
fYear :
2001
fDate :
9/1/2001 12:00:00 AM
Firstpage :
410
Lastpage :
418
Abstract :
This paper presents a systematic development of a unified signal flow graph (SFG) model for an N-cell interleaved DC-DC converter system operating in continuous current mode. From this SFG small, large-signal and steady-state models are developed, which are useful to study the converter behaviour. Converter performance expressions like voltage gain, efficiency and other small-signal transfer functions are derived. A straightforward algorithm is developed to draw the unified SFG of an N-cell interleaved converter system without going into the rigorous procedure. Development of a unified signal flow graph is explained for a 3-cell interleaved converter system. Derivation of large, small-signal and steady-state models from the unified SFG is demonstrated by considering a 2-cell interleaved converter system. A large-signal model is programmed in a TUTSIM simulator, and the large-signal responses against supply, load disturbances are predicted. Signal flow graph analysis results are validated with PSIM simulations. Experimental observations are provided to validate the SFG modelling method
Keywords :
DC-DC power convertors; circuit simulation; nonlinear network analysis; power engineering computing; signal flow graphs; transfer functions; PSIM simulations; TUTSIM simulator; computer simulation; continuous current mode operation; efficiency; interleaved DC/DC power converters; large-signal models; performance expressions; signal flow graph nonlinear modelling; small-signal models; small-signal transfer functions; steady-state models; voltage gain;
fLanguage :
English
Journal_Title :
Electric Power Applications, IEE Proceedings -
Publisher :
iet
ISSN :
1350-2352
Type :
jour
DOI :
10.1049/ip-epa:20010573
Filename :
955375
Link To Document :
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