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Optimal Crosswind Towing and Power Generation with Tethered Kites

Open access
Williams, Paul, Lansdorp, Bas, Ockesl, Wubbo·2008·Journal of Guidance, Control, and Dynamics

Abstract

Non-powered flight vehicles such as kites can provide a means of transmitting wind energy from higher altitudes to the ground via tethers. Although there have been many proposals for systems to extract wind energy from higher altitudes, this paper focuses on the use of a light lifting body at the end of a tether to generate useful power. Two major configurations are studied: 1) the kite is used to tow a ground vehicle in the cross-wind direction, 2) the kite is flown to generate power using a ground generator. In both cases, the useful work done by the kite is transmitted to the ground through the tether. Both applications require automatic control of the kite. A simplified system model is used to study the nature of the optimal trajectories of the system for different wind speeds. Numerical results illustrate that optimal power generation requires complex three-dimensional kite trajectories, whereas cross-wind towing requires much simpler trajectories. A feedback tracking controller is demonstrated for tracking the kite trajectories in the presence of unsteady winds.

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Metadata

Authors
Williams, P., Lansdorp, B., & Ockesl, W.
Venue
Journal of Guidance, Control, and Dynamics
Published
2008-01
Volume
31
Issue
1
Pages
81-93
ISSN
  • 0731-5090 (ISSN-L)
  • 1533-3884
OpenAlex
W2102089497
Cited by
208
References
0
FWCI
25.29
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Optimal Crosswind Towing and Power Generation with Tethered Kites. https://app.cochat.ai/papers/10.2514/1.30089
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Williams, P., Lansdorp, B., & Ockesl, W. (2008). Optimal Crosswind Towing and Power Generation with Tethered Kites. Journal of Guidance, Control, and Dynamics. https://doi.org/10.2514/1.30089

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.