LAPSE:2023.35714
Published Article
LAPSE:2023.35714
Small Signal Modeling of LLC Converter with LED Load and Quasi-Resonant Controller Based Active Ripple Rejection
Xiao Long, Dongdong Chen
May 23, 2023
This paper has analyzed the defects of the traditional extended description function (EDF) based LLC small signal modeling method when driving light emitting diode (LED) load and proposed an accuracy improvement method. Detailed small signal model modeling methods have been deduced, and the accuracy of different modeling methods has been compared thoroughly. To suppress the second-order harmonic ripple in the direct current link-induced output current ripple, a quasi-resonant controller (QRC) is adopted to realize active ripple rejection (ARR). Considering the frequency of the second-order harmonic ripple changes with the grid voltage frequency, a single-phase software phase lock loop (SPLL) is adopted to extract the frequency of the second-order harmonic. By dynamically regulating the control parameter of the QRC according to the locked second-order frequency, output voltage ripple active rejection ability immune to grid voltage frequency deviation is obtained. Based on the deduced accurate small signal model, the digital controller is designed with stability, steady state and dynamics performance guaranteed. The accuracy of the proposed small signal model, the SPLL and the QRC-based ARR method has been verified at last.
Keywords
active ripple rejection, LLC converter, quasi-resonant controller, small signal modeling, SPLL
Suggested Citation
Long X, Chen D. Small Signal Modeling of LLC Converter with LED Load and Quasi-Resonant Controller Based Active Ripple Rejection. (2023). LAPSE:2023.35714
Author Affiliations
Long X: School of Electrical and Electrical Engineering, Minnan University of Science and Technology, Quanzhou 362700, China; Key Laboratory of Industrial Automation Control Technology and Application of Fujian Higher Education, Quanzhou 362700, China [ORCID]
Chen D: School of Electrical and Electrical Engineering, Minnan University of Science and Technology, Quanzhou 362700, China; Key Laboratory of Industrial Automation Control Technology and Application of Fujian Higher Education, Quanzhou 362700, China
Journal Name
Energies
Volume
16
Issue
9
First Page
3773
Year
2023
Publication Date
2023-04-28
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en16093773, Publication Type: Journal Article
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LAPSE:2023.35714
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doi:10.3390/en16093773
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May 23, 2023
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CC BY 4.0
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[v1] (Original Submission)
May 23, 2023
 
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May 23, 2023
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Calvin Tsay
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