Model predictive control for DAB under extended‐phase‐shift considering components uncertainty

Author:

Fu Yongsheng1,Jing Zhengting1,Ren Hai‐Peng12ORCID

Affiliation:

1. School of Mechatronic Engineering and School of Electronic Information Engineering, Xi'an Technological University Xi'an Shaanxi China

2. Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an China

Abstract

AbstractFor the dual active bridge (DAB) DC‐DC converters, parameter uncertainty (circuit parameters, input and/or load perturbations) affect their performance, such as the dynamic performance and backflow power. Here, to deal with the uncertainties, a robust model predictive control (RMPC) for the DAB DC‐DC converter under extended‐phase‐shift (EPS) control is proposed to improve dynamic performance and reduce the backflow power of the DAB for the first time. First, a cost function consisting of backflow power and the output voltage is established. Second, considering the uncertainty of the circuit parameters, a robust term is added to the prediction model to increase the robustness. Finally, the effectiveness and superiority of the proposed method are verified by experiments and comparisons with existing methods. The proposed RMPC method shows superior performance in the sense of improved dynamic performance and reduced backflow power.

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Dynamic Response Optimization of a DABSRC Based on Feedforward Control;2023 IEEE 2nd International Power Electronics and Application Symposium (PEAS);2023-11-10

2. Improved EPS-Based Robust Dynamic Control of Constant Current Source-Based Isolated Dual-Active-Bridge dc–dc Converter with Reduced Current Stress;Arabian Journal for Science and Engineering;2023-10-27

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