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http://dx.doi.org/10.5139/JKSAS.2021.49.12.989

3-Dimensional UAV Path Optimization Based on Battery Usage Prediction Model  

Kang, Tae Young (Inha University)
Kim, Seung Hoon (Inha University)
Park, Kyung In (Inha University)
Ryoo, Chang-Kyung (Inha University)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.49, no.12, 2021 , pp. 989-996 More about this Journal
Abstract
In the case of an unmanned aerial vehicle using a battery as a power source, there are restrictions in performing the mission because the battery capacity is limited. To extend the mission capability, it is important to minimize battery usage while the flight to the mission area. In addition, by using the battery usage prediction model, the possibility of mission completeness can be determined and it can be a criterion for selecting an emergent landing point in the mission planning stage. In this paper, we propose a battery usage prediction model considering as one of the environmental factors in the three-dimensional space. The required power is calculated according to the flight geometry of an unmanned aerial vehicle. True battery usage which is predicted from the required power is verified through the comparison with the battery usage prediction model. The optimal flight trajectory that minimizes battery usage is produced and compared with the shortest travel distance.
Keywords
Battery Usage Prediction; 3D Path Planning; Optimization;
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