Hybrid Physics and Machine Learning Models of Desktop-scale Naval Power Systems

Abstract

The U.S. Navy is considering medium voltage DC (MVDC) power systems as opposed to traditional AC power systems in order to accommodate modern shipboard systems: high power sensors, electronic warfare, and weapons systems. A digital twin of an MVDC naval power system is useful so that its operation can be better understood. In this work, a scaled-down demonstration model of a modern MVDC naval power system is studied through a series of experiments showing the operational benefits of the system when implemented with digital twin technologies. Two portable hybrid unified models of the scaled demonstration system were developed with incorporated machine learning techniques to show improved autonomous control. Because the unified models are portable, they may be developed in one tool, but then used with another tool on another platform. In a field setting, for example, a unified model may be simulated alongside an actual Navy ship to better understand its operation and vice versa.