AERO2022-flying danger reduction for quadcopters by using machine learning to estimate current, voltage, and flight area

AERO2022-flying danger reduction for quadcopters by using machine learning to estimate current, voltage, and flight area

Choosing the appropriate battery capacity for unmanned aerial vehicle (UAV) missions is critical, as draining the battery during flight nearly always results in vehicle damage and a significant risk of human harm or property damage. Predicting energy usage on a difficult trip is critical since the f...

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Bibliographic Details
Main Authors: Seyed Matin Malakouti, Amir Rikhtehgar Ghiasi, Amir Aminzadeh Ghavifekr
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:e-Prime: Advances in Electrical Engineering, Electronics and Energy
Subjects:
Machine learning
Battery capacity
Uncrewed aerial vehicle
High risk
Safe flight
Online Access:http://www.sciencedirect.com/science/article/pii/S2772671122000560

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http://www.sciencedirect.com/science/article/pii/S2772671122000560

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