Digital Twin based Real-Time Analysis of DC-DC Boost Converters
Giulia Di Nezio, Marco Di Benedetto, Alessandro Lidozzi, Luca Solero
Abstract
This paper proposes the real-time analysis of the DC-DC boost converter by utilizing the Digital Twin (DT) method. Based on the measurement data from sensors, the DT is a real-time digital model that runs in parallel to the physical DC-DC boost converter providing information for its monitoring and control. The digital model is obtained by a numerical methodology for discrete-time representation of the physical system. The estimation of uncertainty parameters of the physical system is based on the data analysis on the measurement data. The data analysis is done by applying the heuristic algorithm like Particle Swarm Optimization (PSO) method. The proposed analysis is validated through the digital-switching model realized by means of the FPGA and it runs on a suitable control board. Experimental tests on the converter prototype are illustrated.