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Abstract
To achieve a high conversion efficiency and at the same time robust control of a pumping kite power system it is crucial to optimize the three-dimensional flight path of the tethered wing. This chapter extends a dynamic system model to account for a realistic, turbulent wind environment and adds a flight path planner using a sequence of attractor points and turn actions. Path coordinates are calculated with explicit geometric formulas. To optimize the power output the path is adapted to the average wind speed and the vertical wind profile, using a small set of parameters. The planner employs a finite state machine with switch conditions that are highly robust towards sensor errors. The results indicate, that the decline of the average power output of pumping kite power systems at high wind speeds can be mitigated. In addition it is shown, that reeling out towards the zenith after flying figure eight flight maneuvers significantly reduces the traction forces during reel-in and thus increases the total efficiency.
Original language | English |
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Title of host publication | Airborne Wind Energy |
Subtitle of host publication | Advances in Technology Development |
Editors | Roland Schmehl |
Publisher | Springer |
Pages | 361-390 |
Number of pages | 30 |
ISBN (Electronic) | 978-981-10-1947-0 |
ISBN (Print) | 9789811019463 |
DOIs | |
Publication status | Published - 2018 |
Publication series
Name | Green Energy and Technology |
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Number | 9789811019463 |
ISSN (Print) | 18653529 |
ISSN (Electronic) | 18653537 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Fingerprint
Dive into the research topics of 'Flight path planning in a turbulent wind environment'. Together they form a unique fingerprint.Projects
- 1 Finished
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REACH: Resource Efficient Automatic Conversion of High-Altitude Wind
Schmehl, R., Peschel, J. O. & Schelbergen, M.
1/12/15 → 31/08/19
Project: Research
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