Navigation and coordination of fixed-wing unmanned aerial vehicles under mission uncertainty

Doctoral Thesis (2022)
Author(s)

X. Wang (TU Delft - Team Bart De Schutter)

Contributor(s)

B.H.K. Schutter – Promotor (TU Delft - Delft Center for Systems and Control)

S Baldi – Promotor (TU Delft - Team Bart De Schutter)

Research Group
Team Bart De Schutter
Copyright
© 2022 X. Wang
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 X. Wang
Research Group
Team Bart De Schutter
ISBN (print)
978-94-6384-387-4
Reuse Rights

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Abstract

Unmanned Aerial Vehicles (UAVs) have been emerging as a promising but challenging platform for studying autonomous and cooperative control. This Ph.D. thesis focuses on fixed-wing UAVs which, with their more efficient aerodynamics, can ensure longer flight durations and more autonomy than multi-rotorUAVs. However, in the current state of the art, limited work has been done on deploying formations of fixed-wing UAVs that can operate autonomously even in the presence of large uncertainties. Uncertainties in fixed-wing UAVs include uncertain wind environments, unmodelled longitudinal/lateral dynamics, uncertain load conditions, uncertain communication conditions among the UAVs, and other uncertain factors.
Within this PhD thesis we develope novel adaptive and distributed guidance approaches for fixed-wing UAVs. The following three aspects are studied:
* Vector field guidance under uncertainties
* Distributed formation control with uncertain UAV dynamics
* Testing in the real world to achieve Sim-to-Real transfer

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