Open AccessResearch on Duration Estimation of Rotor UAV Based on Flight Condition-Energy Consumption Identification
Author(s) -
Wei Zhang,
Qingqing Ding,
Chao Zeng,
Chao Wang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1267/1/012011
Subject(s) - adaptability , energy consumption , rotor (electric) , identification (biology) , duration (music) , computer science , energy (signal processing) , automotive engineering , engineering , simulation , mechanical engineering , art , ecology , statistics , botany , literature , mathematics , electrical engineering , biology
The quad-rotor UAV (Unmanned aerial vehicle) has a wide application market for its simple structure, easy operation and strong adaptability. During the flight, the endurance of UAV is an important parameter for flight planning, and it is of great significance to master the endurance capability of UAV. The endurance of UAV is mainly decided by the remaining capacity of the battery and the future energy consumption which changes with flight conditions. In this paper, a Flight Condition-Energy Consumption Model is established by analysing a large number of flight data with machine learning method, and the effects of different regression algorithms are compared. The validity of the model is verified by the actual flight. The endurance of the aircraft can be estimated using this model with the given remaining capacity of the battery and the future flight tasks.