Ajou University repository

Dynamic Characteristic Improvement of Phase-Shift Full-Bridge Center-Tapped Converters Using a Model Predictive Control
Citations

SCOPUS

0

Citation Export

Publication Year
2019-10-01
Journal
CENCON 2019 - 2019 IEEE Conference on Energy Conversion
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
CENCON 2019 - 2019 IEEE Conference on Energy Conversion, Vol.2019-January, pp.100-103
Keyword
dynamic characteristiclow voltage DC/DC converter (LDC)model predictive control (MPC)phase-shift full-bridge center-tapped (PSFB-CT) converter
Mesh Keyword
Dynamic characteristicsElectric Vehicles (EVs)Low voltagesOutput powerOutput voltagesPhase shift full bridgesPI ControllerProportional-integral control
All Science Classification Codes (ASJC)
Electrical and Electronic EngineeringControl and OptimizationEnergy Engineering and Power TechnologyRenewable Energy, Sustainability and the Environment
Abstract
This paper proposes dynamic characteristic improvement of phase-shift full-bridge center-tapped (PSFB-CT) converter using a model predictive control (MPC). The PSFB-CT converters are used for a low voltage DC/DC converter (LDC) of electric vehicles (EVs). It usually controls the output voltage using a proportional-integral (PI) control. However, it has disadvantage in unsuitable dynamic characteristic. Additionally, the overshoot of the output voltage can be occurred in case the gain of the PI controller increases for improving the dynamic characteristic. Therefore, in this paper, the MPC method is proposed in order to improve the dynamic characteristic of the PSFB-CT converter without overshoot of the output voltage. In the proposed MPC method, the next state of the output power is predicted by the variation of the output power. It is calculated by the variation of output voltage and current of the PSFB-CT converter. As a result, the optimal phase-shift can be obtained. The effectiveness of proposed MPC method was proved by the simulation results.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36425
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85084452733&origin=inward
DOI
https://doi.org/10.1109/cencon47160.2019.8974838
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8966555
Type
Conference
Show full item record

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

 Lee, Kyo-Beum Image
Lee, Kyo-Beum이교범
Department of Electrical and Computer Engineering
Read More

Total Views & Downloads

File Download

  • There are no files associated with this item.