Abstract
Endurance flight capability of solar powered UAV is an important element in performing various missions. In the limited conditions such as solar cell efficiency or sunray radiant quantities, an efficient operation is required to achieve continuous flight. In order to improve endurance flight capability of solar powered UAV, this study tried to optimize flight path through the use of gravitational potential energy by controlling flight altitude and through aircraft attitude control. The energy model includes the solar position, aircraft attitude, and aerodynamics characteristics, and the influence of air density and atmospheric transmittance was considered according to flight altitude change. Through a case study, energy optimization was performed for endurance flight. As a result of simulation, compared to level flight, energy acquisition increased and battery use decreased, which indicates that flight path optimization is effective for improvement of endurance flight capability.
| Original language | English |
|---|---|
| Title of host publication | 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 820-823 |
| Number of pages | 4 |
| ISBN (Electronic) | 9784907764487 |
| DOIs | |
| State | Published - 2015.09.30 |
| Event | 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 - Hangzhou, China Duration: 2015.07.28 → 2015.07.30 |
Publication series
| Name | 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 |
|---|
Conference
| Conference | 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 |
|---|---|
| Country/Territory | China |
| City | Hangzhou |
| Period | 15.07.28 → 15.07.30 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Endurance flight
- Flight path optimization
- Solar Powered UAV
Quacquarelli Symonds(QS) Subject Topics
- Computer Science & Information Systems
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