Analog-Digital Converter with Neural Network and DC-DC Converter for Underwater Solar Charging

摘要

In this article, author describe a time-interleaved analog-to-digital converter (TI-ADC) approach to DC-DC converter and rectifier with resonator for underwater wireless power transfer (UWPT) and underwater solar array charging. The proposed paper investigates the wireless power propagation model for TI-ADC with neural network (NN) based UWPT. The proposed neural network algorithms also can support fault detection for solar array charging. In the proposed calibration TI-ADC, a pilot signal is sent to train the neural network and then the sampled signals could be directly calibrated with the trained network.