Modeling and prediction of powered parafoil unmanned aerial vehicle throttle and servo controls through artificial neural networks

Modeling and prediction of powered parafoil unmanned aerial vehicle throttle and servo controls through artificial neural networks

This study proposes a framework for developing a realistic model for throttle and servo control algorithms for a powered parafoil unmanned aerial vehicle (PPUAV) using artificial neural networks (ANNs). Two servo motors on an L-shaped platform, control and steer the PPUAV. Six degrees of freedom mat...

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Bibliographic Details
Main Authors: Prashant Kumar, Bisheswar Choudhury, Amandeep Singh, Janakarajan Ramkumar, Deepu Philip, Ajoy Kanti Ghosh
Format: Article
Language:English
Published: Canadian Science Publishing 2023-01-01
Series:Drone Systems and Applications
Subjects:
neural networks
artificial intelligence
parafoil
control systems
unmanned aerial vehicle
Online Access:https://cdnsciencepub.com/doi/10.1139/dsa-2022-0040

Internet

https://cdnsciencepub.com/doi/10.1139/dsa-2022-0040

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