DC-DC Boost Converters Parameters Estimation Based on Digital Twin

This paper presents the real-time monitoring of the degradation parameters of the DC-DC boost converter by utilizing the Digital Twin (DT) method. The DT is a real-time high-fidelity mathematical (digital) model that runs in parallel to the physical DC-DC boost converter, providing information for its monitoring and control using the measurement data coming from the sensors already existing in the asset. The digital model is obtained by means of the Backward Euler numerical methodology for discrete-time representation of the mathematical switching model of the physical system. The estimation of degradation parameters of the physical system is based on the data analysis carried out by comparing the data measured by the sensors existing in the physical system and the data coming from the digital model. The data analysis is done by applying the heuristic algorithm like Particle Swarm Optimization (PSO) method. The proposed method 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. For further validation, a sensitivity analysis is carried out.