Data underlying Ch. 2 to 7 of the PhD thesis: Hybrid lift UAV design and control for precision landing on a moving vessel in high sea state

DOI:10.4121/1e3abfd2-bccf-4dbb-a29a-4e93caa9e4b3.v1
The DOI displayed 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: 10.4121/1e3abfd2-bccf-4dbb-a29a-4e93caa9e4b3

Datacite citation style

Mancinelli, Alessandro; Smeur, Ewoud; Remes, Bart; Guido de Croon (2025): Data underlying Ch. 2 to 7 of the PhD thesis: Hybrid lift UAV design and control for precision landing on a moving vessel in high sea state. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/1e3abfd2-bccf-4dbb-a29a-4e93caa9e4b3.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This repository contains all data collected and used by Alessandro Mancinelli during his four-year PhD (2021–2025), supporting the results presented in Chapters 2 through 7 of his dissertation. The dataset includes MATLAB and Simulink models, flight logs, and flight videos used to develop and validate novel control algorithms and flight strategies for hybrid UAVs. The data was gathered through a combination of high-fidelity simulations and experimental flight tests conducted in indoor and outdoor environments. The research focused on real-time control design, flight performance evaluation, and fault-tolerant control of UAV platforms under various mission scenarios.

History

  • 2025-05-19 first online, published, posted

Publisher

4TU.ResearchData

Format

MATLAB script/.m, Simulink model/.slx, data logs/.log and .mat, video/.mp4, image/.png, vector image/.svg, vector image/.pdf, text/.txt, spreadsheet/.csv, presentation/.pptx

Funding

  • This work was carried out within the Unmanned Valley Project. The grant comes from the "Europees Fonds voor Regionale Ontwikkeling(EFRO)" who is founding the Unmanned Valley project under grant code KvW-00168 for the South-Holland region. (grant code KvW-00168) Europees Fonds voor Regionale Ontwikkeling(EFRO)

Organizations

TU Delft, Faculty Electrical Engineering, Mathematics and Computer Science, Department of Microelectronics

DATA

Files (6)