Neural Network Based UAV Optimal Control Algorithm for Energy Efficiency Maximization
2020 IEEE 61st International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2020): Conference Proceedings 2020
Aleksandrs Korņejevs, Mihails Gorobecs

One of the important problems in the field of unmanned autonomous vehicles (UAV) is energy efficiency. By the results of this research authors contribute to development of energy efficient control system of the UAV. Energy consumption of the UAV is optimized by implementation of neural network based algorithm used to control electric drive. Additional UAV optimization controller is proposed for energy efficient flight control. Neural network based structure extends the adaptive search algorithm allowing significantly reduce time to find out the value of optimal control signals and maximize energy efficiency of the UAV


Atslēgas vārdi
neural networks; unmanned autonomous vehicles; energy consumption
DOI
10.1109/RTUCON51174.2020.9316556
Hipersaite
https://ieeexplore.ieee.org/document/9316556

Korņejevs, A., Gorobecs, M. Neural Network Based UAV Optimal Control Algorithm for Energy Efficiency Maximization. No: 2020 IEEE 61st International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2020): Conference Proceedings, Latvija, Rīga, 5.-7. novembris, 2020. Piscataway: IEEE, 2020, Article number 9316556. ISBN 978-1-7281-9511-7. e-ISBN 978-1-7281-9510-0. Pieejams: doi:10.1109/RTUCON51174.2020.9316556

Publikācijas valoda
English (en)
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