DocumentCode :
747012
Title :
Cyclic-averaging for high-speed analysis of resonant converters
Author :
Foster, Martin P. ; Sewell, H. Isaac ; Bingham, Chris M. ; Stone, David A. ; Hente, Dirk ; Howe, Dave
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Sheffield, UK
Volume :
18
Issue :
4
fYear :
2003
fDate :
7/1/2003 12:00:00 AM
Firstpage :
985
Lastpage :
993
Abstract :
The paper describes the development and application of a cyclic-averaging technique for the rapid analysis of high-order resonant power converters. To provide a focus to the paper, particular emphasis is given to a 3rd-order LCC voltage output converter topology. The proposed methodology predicts steady-state voltages and currents throughout the circuit, and provides estimates of the stresses on the resonant circuit components. State-space simulations and experimental results from a 350 V-input/150 V-output converter are used to demonstrate a prediction accuracy comparable with time-domain integration-based techniques is achievable, while requiring only 1/10,000th of the computation time. In addition, a comparison with Spice simulation results shows that cyclic averaging provides commensurate predictions of voltage and current stresses on the resonant circuit components. Issues arising from the stray capacitance associated with the resonant inductor, and the corresponding sensitivity of the predicted output voltage, are also considered.
Keywords :
capacitance; resonant power convertors; state-space methods; time-domain analysis; 150 V; 350 V; current stresses; cyclic-averaging technique; high-order resonant power converters; resonant inductor; state-space simulations; stray capacitance; time domain analysis; voltage stresses; Accuracy; Circuit simulation; Circuit topology; Computational modeling; Predictive models; RLC circuits; Resonance; Steady-state; Stress; Voltage;
fLanguage :
English
Journal_Title :
Power Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8993
Type :
jour
DOI :
10.1109/TPEL.2003.813763
Filename :
1214521
Link To Document :
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