Year: 2026
Type: article
Abstract: Over the past two decades, Unmanned Aerial Vehicles (UAVs), or drones, have gained significant attention and adoption across diverse domains, including logistics, disaster response, and surveillance. Drone design is inherently multidisciplinary, requiring the integration of aerodynamics, power management, embedded software, and fault tolerance. However, current simulation frameworks typically isolate these concerns, making it difficult to analyze them and to design effective fault management strategies. This paper proposes a unified co-simulation framework that enables concurrent modeling and analysis across mechanical, electrical, software, and environmental domains. The framework integrates: (1) SystemC AMS for modeling analog/mixed-signal, electromechanical, and power subsystems; (2) an Instruction Set Simulator (ISS) for software execution and profiling; and (3) Unreal Engine for high-fidelity visualization, environmental modeling, and user interaction. The proposed integration supports holistic design space exploration and early fault injection for a preliminary evaluation of fault analysis and for the design of fault recovery mechanisms. The platform promotes a white-box approach to UAV design, providing insight into how faults propagate across subsystems and performing efficient power design space exploration.
DOI: 10.1145/3849383
Institutions: Politecnico di Torino, University of Verona
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7224145895