LAPSE:2023.12822
Published Article

LAPSE:2023.12822
Adaptive Charge-Compensation-Based Variable On-Time Control to Improve Input Current Distortion for CRM Boost PFC Converter
February 28, 2023
Abstract
For boost power factor correction (PFC) converters operating in critical conduction mode (CRM), charge compensation strategies are utilized to improve input current distortion. However, since massive calculations are required under complex working conditions, it is difficult to achieve accurate charge compensation with limited real-time computing resources. To solve this issue, this paper proposes an adaptive charge-compensation-based variable on-time (ACVOT) control strategy. The ACVOT controller calculates the required switching on-time by adding a fundamental value and an extended on-time. The fundamental value is adjusted by the loop compensator in each half-line cycle to provide a basic bias. The extended on-time is calculated based on partial charge compensation equation in each switching cycle to reduce the distortion. Compared with conventional digital variable on-time (VOT) control, the proposed strategy improves the input current total harmonics distortion (THD) and reduces the LUT/register resources by 54%/43% in FPGA realization. To verify the effectiveness of the proposed strategy, a 200 W prototype is built using the GaN HEMT transistor, where the THD is reduced to 1.4% at full load.
For boost power factor correction (PFC) converters operating in critical conduction mode (CRM), charge compensation strategies are utilized to improve input current distortion. However, since massive calculations are required under complex working conditions, it is difficult to achieve accurate charge compensation with limited real-time computing resources. To solve this issue, this paper proposes an adaptive charge-compensation-based variable on-time (ACVOT) control strategy. The ACVOT controller calculates the required switching on-time by adding a fundamental value and an extended on-time. The fundamental value is adjusted by the loop compensator in each half-line cycle to provide a basic bias. The extended on-time is calculated based on partial charge compensation equation in each switching cycle to reduce the distortion. Compared with conventional digital variable on-time (VOT) control, the proposed strategy improves the input current total harmonics distortion (THD) and reduces the LUT/register resources by 54%/43% in FPGA realization. To verify the effectiveness of the proposed strategy, a 200 W prototype is built using the GaN HEMT transistor, where the THD is reduced to 1.4% at full load.
Record ID
Keywords
boost power factor correction (PFC), critical conduction mode (CRM), real time, total harmonics distortion (THD), variable on-time (VOT)
Subject
Suggested Citation
Liu X, Zhang D, Wang W, Zhang F, Yuan J, Liu N. Adaptive Charge-Compensation-Based Variable On-Time Control to Improve Input Current Distortion for CRM Boost PFC Converter. (2023). LAPSE:2023.12822
Author Affiliations
Liu X: Department of Electrical Engineering, Harbin Institute of Technology, Shenzhen 518055, China
Zhang D: Department of Electrical Engineering, Harbin Institute of Technology, Shenzhen 518055, China [ORCID]
Wang W: School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China [ORCID]
Zhang F: Dongfeng Motor Corporation Technical Center, Wuhan 430074, China
Yuan J: Hubei Jiufengshan Laboratory, Wuhan 430074, China
Liu N: Hubei Jiufengshan Laboratory, Wuhan 430074, China
Zhang D: Department of Electrical Engineering, Harbin Institute of Technology, Shenzhen 518055, China [ORCID]
Wang W: School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China [ORCID]
Zhang F: Dongfeng Motor Corporation Technical Center, Wuhan 430074, China
Yuan J: Hubei Jiufengshan Laboratory, Wuhan 430074, China
Liu N: Hubei Jiufengshan Laboratory, Wuhan 430074, China
Journal Name
Energies
Volume
15
Issue
11
First Page
4021
Year
2022
Publication Date
2022-05-30
ISSN
1996-1073
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Original Submission
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PII: en15114021, Publication Type: Journal Article
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LAPSE:2023.12822
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https://doi.org/10.3390/en15114021
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Feb 28, 2023
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