Control scheme for LLC resonant converter with improved performance under light loads and wide input-output voltage variation

Jaspreet Narli; Hossein Dehghani Tafti; Glen G. Farivar; Josep Pou; Bac Xuan Nguyen; Koh Leong Hai

doi:10.1109/ECCE.2019.8913175

Control scheme for LLC resonant converter with improved performance under light loads and wide input-output voltage variation

Jaspreet Narli, Hossein Dehghani Tafti, Glen G. Farivar, Josep Pou, Bac Xuan Nguyen, Koh Leong Hai

Nanyang Technological University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Citations (Scopus)

Abstract

A novel control scheme to improve the performance of LLC resonant mode controller under light load operation and wide input-output voltage variations is presented in this paper. Poor light load voltage regulation in the LLC resonant converter necessitates the use of burst control mode, which results in performance degradation under light loading conditions. The proposed control scheme uses an adaptive deadband technique that avoids the burst control mode even at extremely light loads resulting in continuous operation and thereby lower output voltage and current ripple, lower noise and higher efficiency. Furthermore, a neural-network-based compensator is proposed in this paper for improving the dynamic performance of the converter under varied operating conditions. Theoretical and simulation results are provided to show the advantages of the proposed control algorithms. A 200W-LLC resonant converter is used for experimental verification of the proposed control scheme.

Original language	English
Title of host publication	2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1605-1608
Number of pages	4
ISBN (Electronic)	9781728103952
DOIs	https://doi.org/10.1109/ECCE.2019.8913175
Publication status	Published - Sept 2019
Externally published	Yes
Event	11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019 - Baltimore, United States Duration: Sept 29 2019 → Oct 3 2019

Publication series

Name	2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019

Conference

Conference	11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019
Country/Territory	United States
City	Baltimore
Period	9/29/19 → 10/3/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

ASJC Scopus Subject Areas

Mechanical Engineering
Control and Optimization
Energy Engineering and Power Technology
Electrical and Electronic Engineering

Keywords

Artificial neural networks
Light load operation
LLC converter
Resonant converters

Access to Document

10.1109/ECCE.2019.8913175

Cite this

Narli, J., Tafti, H. D., Farivar, G. G., Pou, J., Nguyen, B. X., & Leong Hai, K. (2019). Control scheme for LLC resonant converter with improved performance under light loads and wide input-output voltage variation. In 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019 (pp. 1605-1608). Article 8913175 (2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE.2019.8913175

Narli, Jaspreet ; Tafti, Hossein Dehghani ; Farivar, Glen G. et al. / Control scheme for LLC resonant converter with improved performance under light loads and wide input-output voltage variation. 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 1605-1608 (2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019).

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title = "Control scheme for LLC resonant converter with improved performance under light loads and wide input-output voltage variation",

abstract = "A novel control scheme to improve the performance of LLC resonant mode controller under light load operation and wide input-output voltage variations is presented in this paper. Poor light load voltage regulation in the LLC resonant converter necessitates the use of burst control mode, which results in performance degradation under light loading conditions. The proposed control scheme uses an adaptive deadband technique that avoids the burst control mode even at extremely light loads resulting in continuous operation and thereby lower output voltage and current ripple, lower noise and higher efficiency. Furthermore, a neural-network-based compensator is proposed in this paper for improving the dynamic performance of the converter under varied operating conditions. Theoretical and simulation results are provided to show the advantages of the proposed control algorithms. A 200W-LLC resonant converter is used for experimental verification of the proposed control scheme.",

keywords = "Artificial neural networks, Light load operation, LLC converter, Resonant converters",

author = "Jaspreet Narli and Tafti, {Hossein Dehghani} and Farivar, {Glen G.} and Josep Pou and Nguyen, {Bac Xuan} and {Leong Hai}, Koh",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019 ; Conference date: 29-09-2019 Through 03-10-2019",

year = "2019",

month = sep,

doi = "10.1109/ECCE.2019.8913175",

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series = "2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019",

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Narli, J, Tafti, HD, Farivar, GG, Pou, J, Nguyen, BX & Leong Hai, K 2019, Control scheme for LLC resonant converter with improved performance under light loads and wide input-output voltage variation. in 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019., 8913175, 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019, Institute of Electrical and Electronics Engineers Inc., pp. 1605-1608, 11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019, Baltimore, United States, 9/29/19. https://doi.org/10.1109/ECCE.2019.8913175

Control scheme for LLC resonant converter with improved performance under light loads and wide input-output voltage variation. / Narli, Jaspreet; Tafti, Hossein Dehghani; Farivar, Glen G. et al.
2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1605-1608 8913175 (2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Control scheme for LLC resonant converter with improved performance under light loads and wide input-output voltage variation

AU - Narli, Jaspreet

AU - Tafti, Hossein Dehghani

AU - Farivar, Glen G.

AU - Pou, Josep

AU - Nguyen, Bac Xuan

AU - Leong Hai, Koh

PY - 2019/9

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N2 - A novel control scheme to improve the performance of LLC resonant mode controller under light load operation and wide input-output voltage variations is presented in this paper. Poor light load voltage regulation in the LLC resonant converter necessitates the use of burst control mode, which results in performance degradation under light loading conditions. The proposed control scheme uses an adaptive deadband technique that avoids the burst control mode even at extremely light loads resulting in continuous operation and thereby lower output voltage and current ripple, lower noise and higher efficiency. Furthermore, a neural-network-based compensator is proposed in this paper for improving the dynamic performance of the converter under varied operating conditions. Theoretical and simulation results are provided to show the advantages of the proposed control algorithms. A 200W-LLC resonant converter is used for experimental verification of the proposed control scheme.

AB - A novel control scheme to improve the performance of LLC resonant mode controller under light load operation and wide input-output voltage variations is presented in this paper. Poor light load voltage regulation in the LLC resonant converter necessitates the use of burst control mode, which results in performance degradation under light loading conditions. The proposed control scheme uses an adaptive deadband technique that avoids the burst control mode even at extremely light loads resulting in continuous operation and thereby lower output voltage and current ripple, lower noise and higher efficiency. Furthermore, a neural-network-based compensator is proposed in this paper for improving the dynamic performance of the converter under varied operating conditions. Theoretical and simulation results are provided to show the advantages of the proposed control algorithms. A 200W-LLC resonant converter is used for experimental verification of the proposed control scheme.

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KW - Light load operation

KW - LLC converter

KW - Resonant converters

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ER -

Narli J, Tafti HD, Farivar GG, Pou J, Nguyen BX, Leong Hai K. Control scheme for LLC resonant converter with improved performance under light loads and wide input-output voltage variation. In 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 1605-1608. 8913175. (2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019). doi: 10.1109/ECCE.2019.8913175

Control scheme for LLC resonant converter with improved performance under light loads and wide input-output voltage variation

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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