Adaptive Traction Drive Control Algorithm For Electrical Energy Consumption Minimization Of Autonomous Unmanned Aerial Vehicle

Aleksandr Korneyev, Mikhail Gorobetz, Ivars Alps, Leonids Ribickis


This article describes the developed adaptive algorithm for optimizing the control of the autopilot, an electric unmanned aerial vehicle (UAV), whose task is to minimize energy consumption. The main advantage of the proposed algorithm is the unification and usability for any electrical UAV with different number of traction drives, different or variable mass and other configuration differences without any initial manual setup. With the proposed algorithm any electric UAV is able to move with maximal energy efficiency.

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Developed by Institute of Industrial Electronics and Electrical Engineering of RIGA TECHNICAL UNIVERSITY