A Neural Network Model for Maximum Power Estimation in Dual-Input Phase-Shifted LLC Converter

A. Hussein, Sumana Ghosh, Abdullah Alhatlani, I. Batarseh
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Abstract

This paper proposes a neural network model for the output power as a function of switching frequency of a dual-input phase-shifted LLC converter. The proposed model can be used to allow fast and efficient maximum power point tracking of the converter. Derivation of the model followed by verification are presented.
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双输入相移LLC变换器最大功率估计的神经网络模型
本文提出了双输入相移LLC变换器输出功率随开关频率变化的神经网络模型。该模型可用于快速有效地跟踪变换器的最大功率点。给出了模型的推导和验证。
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