Swinging Motion of a Kite with Suspended Control Unit Flying Turning Manoeuvres (Code)

doi: 10.4121/e08cd09a-bad8-48c5-b6cb-66f90ac467c3.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/e08cd09a-bad8-48c5-b6cb-66f90ac467c3
Datacite citation style:
Schelbergen, Mark (2024): Swinging Motion of a Kite with Suspended Control Unit Flying Turning Manoeuvres (Code). Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/e08cd09a-bad8-48c5-b6cb-66f90ac467c3.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software

This Python code is published as part of the scientific paper Swinging Motion of a Kite with Suspended Control Unit Flying Turning Manoeuvres published in the Wind Energy Science journal. Along with the code, the flight data for the specific pumping cycles used in this study are included.


The paper assesses the accuracy of a two-point kite model in resolving this swinging motion using two different approaches: approximating the motion as a transition through steady-rotation states and solving the motion dynamically. The kite is modelled with two rigidly linked point masses representing the control unit and wing, which conveniently extend a discretised tether model. The tether-kite motion is solved by prescribing the trajectory of the wing point mass to replicate a figure-of-eight manoeuvre from the flight data of an existing prototype. The computed pitch and roll of the kite are compared against the attitude measurements of two sensors mounted to the wing.

history
  • 2024-06-10 first online, published, posted
publisher
4TU.ResearchData
format
text/x-python, application/x-yaml, text/csv, text/markdown
funding
  • European Commission, info:eu-repo/grantAgreement/EC/H2020/691173
  • European Commission, info:eu-repo/grantAgreement/EC/H2020/642682
organizations
TU Delft, Faculty of Aerospace Engineering, Department of Flow Physics and Technology, Section Wind Energy

DATA

To access the source code, use the following command:

git clone https://data.4tu.nl/v3/datasets/5bdc36c2-6e55-483b-9b1f-ac523b544ca5.git "swinging-kite"