Deep Neural Control Module (DNCM) AI-Driven Adaptive Deep Learning Control Framework for Islanded DC Microgrids in Space Habitats and UAVs

Islanded DC microgrids are pivotal for ensuring autonomous, resilient, and efficientpower systems in space habitats and unmanned aerial vehicles (UAVs).Recent research and development by NASA, Boeing, and the U.S. Air Forcehave focused on integrating solar photovoltaic (PV) systems with advanced energystorage solutions to support off-grid operations. This paper presents acomprehensive and uniquely conceptualized model that combines deep learning,artificial intelligence algorithms, and advanced optimization techniques forthe control, stability, error detection, and power optimization of Islanded DCMicrogrids used in space habitats and UAVs.