Model Predictive Control with a Novel Parameter Identification Scheme for Dual-Active-Bridge Converters

Yi Zhu; Yong Yang; Huiqing Wen; Jianliang Mao; Pan Wang; Xiaohu Fan; Weiguo Huang; Zijian Zhao; Saad Mekhilef; Jose Rodriguez

doi:10.1109/JESTPE.2023.3289299

Model Predictive Control with a Novel Parameter Identification Scheme for Dual-Active-Bridge Converters

Yi Zhu, Yong Yang^*, Huiqing Wen^*, Jianliang Mao, Pan Wang, Xiaohu Fan, Weiguo Huang, Zijian Zhao, Saad Mekhilef, Jose Rodriguez

^*Corresponding author for this work

Academy of JITRI

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

This article proposes a moving discretized control set model predictive control (MDCS-MPC) strategy with a simple parameter identification scheme for dual-active-bridge (DAB) converters. The value of the leakage inductance of the high-frequency transformer is estimated online within the digital microcontroller with an easy-implement gradient descent method. The identification scheme is isolated from the control loop. Therefore, the parameter identification scheme can improve the reliability of DAB converters when the leakage inductance changes due to temperature or other influence factors. The effectiveness of the proposed control strategy is verified by experiments.

Original language	English
Pages (from-to)	4704-4713
Number of pages	10
Journal	IEEE Journal of Emerging and Selected Topics in Power Electronics
Volume	11
Issue number	5
DOIs	https://doi.org/10.1109/JESTPE.2023.3289299
Publication status	Published - 1 Oct 2023

Keywords

Dual-active-bridge (DAB) converters
model predictive control (MPC)
online parameter identification

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10.1109/JESTPE.2023.3289299

Cite this

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title = "Model Predictive Control with a Novel Parameter Identification Scheme for Dual-Active-Bridge Converters",

abstract = "This article proposes a moving discretized control set model predictive control (MDCS-MPC) strategy with a simple parameter identification scheme for dual-active-bridge (DAB) converters. The value of the leakage inductance of the high-frequency transformer is estimated online within the digital microcontroller with an easy-implement gradient descent method. The identification scheme is isolated from the control loop. Therefore, the parameter identification scheme can improve the reliability of DAB converters when the leakage inductance changes due to temperature or other influence factors. The effectiveness of the proposed control strategy is verified by experiments.",

keywords = "Dual-active-bridge (DAB) converters, model predictive control (MPC), online parameter identification",

author = "Yi Zhu and Yong Yang and Huiqing Wen and Jianliang Mao and Pan Wang and Xiaohu Fan and Weiguo Huang and Zijian Zhao and Saad Mekhilef and Jose Rodriguez",

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T1 - Model Predictive Control with a Novel Parameter Identification Scheme for Dual-Active-Bridge Converters

AU - Zhu, Yi

AU - Yang, Yong

AU - Wen, Huiqing

AU - Mao, Jianliang

AU - Wang, Pan

AU - Fan, Xiaohu

AU - Huang, Weiguo

AU - Zhao, Zijian

AU - Mekhilef, Saad

AU - Rodriguez, Jose

PY - 2023/10/1

Y1 - 2023/10/1

N2 - This article proposes a moving discretized control set model predictive control (MDCS-MPC) strategy with a simple parameter identification scheme for dual-active-bridge (DAB) converters. The value of the leakage inductance of the high-frequency transformer is estimated online within the digital microcontroller with an easy-implement gradient descent method. The identification scheme is isolated from the control loop. Therefore, the parameter identification scheme can improve the reliability of DAB converters when the leakage inductance changes due to temperature or other influence factors. The effectiveness of the proposed control strategy is verified by experiments.

AB - This article proposes a moving discretized control set model predictive control (MDCS-MPC) strategy with a simple parameter identification scheme for dual-active-bridge (DAB) converters. The value of the leakage inductance of the high-frequency transformer is estimated online within the digital microcontroller with an easy-implement gradient descent method. The identification scheme is isolated from the control loop. Therefore, the parameter identification scheme can improve the reliability of DAB converters when the leakage inductance changes due to temperature or other influence factors. The effectiveness of the proposed control strategy is verified by experiments.

KW - Dual-active-bridge (DAB) converters

KW - model predictive control (MPC)

KW - online parameter identification

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Model Predictive Control with a Novel Parameter Identification Scheme for Dual-Active-Bridge Converters

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