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The development of Unmanned Aerial Vehicles (UAVs) can be enhanced through the use of sonification, an emerging field within Human-Robot Interaction (HRI). This dissertation introduces UAVSonification, a computational algorithm that maps simulation data to musical notes using the Musical Instrument Digital Interface (MIDI). By integrating UAVSonification with Formation Flight Simulation in Simulink, this study explores the sonification of UAV trajectories under environmental conditions. The function transforms simulation data into auditory signals, allowing users to discern key dynamics through sound. Specifically, the data series for multiple UAVs is mapped to piano notes via MIDI on MATLAB, providing auditory insights into UAV trajectories, environmental conditions, and control errors. A well-controlled flight path and stable heading controller produce harmonious sounds, while disruptions and deviations result in dissonance. UAVSonification offers a unique auditory approach to understanding UAV behavior in relation to control dynamics and environmental conditions. The sonification of UAVs has the potential to aid in the planning and analysis of UAV trajectories and controllers, as well as in creative endeavors. The effectiveness of the proposed method is shown through MATLAB numerical simulations.