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

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.

本仓库收录了亚历山德罗·曼奇内利（Alessandro Mancinelli）在2021—2025年四年博士攻读期间收集并使用的全部数据，用于支撑其博士论文第2至7章所呈现的研究成果。本数据集包含用于开发并验证混合构型无人机（Unmanned Aerial Vehicle，UAV）新型控制算法与飞行策略的MATLAB、Simulink模型、飞行日志及飞行录像。该数据集通过高保真仿真与室内外环境下的实机飞行试验相结合的方式采集得到。此项研究针对多种任务场景下的无人机平台，聚焦实时控制设计、飞行性能评估与容错控制三大核心方向。