Simulation of DC-DC Power Converter using Physics-Informed Neural Networks image

Simulation of DC-DC Power Converter using Physics-Informed Neural Networks

Project Overview

The real-time simulation of power converters is necessary for the health monitoring and preventative maintenance to avoid critical failures. Developed a digital twin of a buck converter for simulation and health monitoring to be deployed on FPGA with a 1ns time-step.

Skills Used

Machine Learning PyTorch NumPy ODEs MLP Physics-Informed ML SPICE FPGA MATLAB