TY - GEN
T1 - Hybrid predictive current-mode control for power factor corrector with on-line parameter tuning
AU - Chen, Jian Fu
AU - Lai, Yen Shin
AU - Chen, Wen Shyue
AU - Chen, Wen Hui
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/21
Y1 - 2016/12/21
N2 - The objective of this paper is to present a new hybrid predictive current-mode control for power factor corrector with on-line parameter tuning. The proposed method can effectively solve the problems caused by inductance variation due to manufacturing tolerances, load current, magnetic intensity and temperature etc. for the power factor corrector with hybrid predictive current-mode control. The inductance variation may result in the predicted duty error and conduction mode switching error. Analysis of predicted duty error and conduction mode switching error contributed by the inductance variation for hybrid predictive current-mode control will be presented. The conduction mode switching error and duty error will deteriorate the power rating and reduce the efficiency. An on-line inductance tuning method for the power factor corrector with hybrid predictive current-mode control will be proposed in this paper. And this tuned parameter is used to correct the predicted duty error. The specifications of the converter include: input voltage 100 V/60 Hz, output voltage 380 VDC, output power 760 W, switching frequency 65 kHz. The control software is developed and verified using a microprocessor, TMS320F28335. Details of the controller design, simulation and experimental results are presented to fully support the theoretical analysis and validate the proposed method.
AB - The objective of this paper is to present a new hybrid predictive current-mode control for power factor corrector with on-line parameter tuning. The proposed method can effectively solve the problems caused by inductance variation due to manufacturing tolerances, load current, magnetic intensity and temperature etc. for the power factor corrector with hybrid predictive current-mode control. The inductance variation may result in the predicted duty error and conduction mode switching error. Analysis of predicted duty error and conduction mode switching error contributed by the inductance variation for hybrid predictive current-mode control will be presented. The conduction mode switching error and duty error will deteriorate the power rating and reduce the efficiency. An on-line inductance tuning method for the power factor corrector with hybrid predictive current-mode control will be proposed in this paper. And this tuned parameter is used to correct the predicted duty error. The specifications of the converter include: input voltage 100 V/60 Hz, output voltage 380 VDC, output power 760 W, switching frequency 65 kHz. The control software is developed and verified using a microprocessor, TMS320F28335. Details of the controller design, simulation and experimental results are presented to fully support the theoretical analysis and validate the proposed method.
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U2 - 10.1109/IECON.2016.7793434
DO - 10.1109/IECON.2016.7793434
M3 - Conference contribution
AN - SCOPUS:85010078182
T3 - IECON Proceedings (Industrial Electronics Conference)
SP - 3431
EP - 3436
BT - Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
PB - IEEE Computer Society
T2 - 42nd Conference of the Industrial Electronics Society, IECON 2016
Y2 - 24 October 2016 through 27 October 2016
ER -