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UAV Trajectory Modeling Using Neural NetworksMassive small unmanned aerial vehicles are envisioned to operate in the near future. While there are lots of research problems need to be addressed before dense operations can happen, trajectory modeling remains as one of the keys to understand and develop policies, regulations, and requirements for safe and efficient unmanned aerial vehicle operations. The fidelity requirement of a small unmanned vehicle trajectory model is high because these vehicles are sensitive to winds due to their small size and low operational altitude. Both vehicle control systems and dynamic models are needed for trajectory modeling, which makes the modeling a great challenge, especially considering the fact that manufactures are not willing to share their control systems. This work proposed to use a neural network approach for modelling small unmanned vehicle's trajectory without knowing its control system and bypassing exhaustive efforts for aerodynamic parameter identification. As a proof of concept, instead of collecting data from flight tests, this work used the trajectory data generated by a mathematical vehicle model for training and testing the neural network. The results showed great promise because the trained neural network can predict 4D trajectories accurately, and prediction errors were less than 2:0 meters in both temporal and spatial dimensions.
Document ID
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Xue, Min
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
October 11, 2017
Publication Date
June 5, 2017
Subject Category
Air Transportation And Safety
Systems Analysis And Operations Research
Statistics And Probability
Report/Patent Number
Meeting Information
Meeting: AIAA Aviation Forum 2017
Location: Denver, CO
Country: United States
Start Date: June 5, 2017
End Date: June 9, 2017
Sponsors: American Inst. of Aeronautics and Astronautics
Distribution Limits
Work of the US Gov. Public Use Permitted.
Neural Networks
Trajectory prediction
Trajectory Modeling
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