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Physics Informed Neural Network Estimated Circuit Parameter Adaptive Modulation of DAB

Signal Processing 2025-02-26 v1 Neural and Evolutionary Computing Systems and Control Systems and Control
Authors: Saikat Dey , Ayan Mallik
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Abstract

This article presents the development, implementation, and validation of a loss-optimized and circuit parameter-sensitive TPS modulation scheme for a dual-active-bridge DC-DC converter. The proposed approach dynamically adjusts control parameters based on circuit parameters estimated using a physics-informed neural network.

Keywords

electric motor control and design parameter estimation machine learning

Cite

@article{arxiv.2502.17452,
  title  = {Physics Informed Neural Network Estimated Circuit Parameter Adaptive Modulation of DAB},
  author = {Saikat Dey and Ayan Mallik},
  journal= {arXiv preprint arXiv:2502.17452},
  year   = {2025}
}

Comments

21 pages, 24 figures

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