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

X. Wang

Research output: ThesisDissertation (TU Delft)

230 Downloads (Pure)


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
Original languageEnglish
Awarding Institution
  • Delft University of Technology
  • De Schutter, B.H.K., Supervisor
  • Baldi, S., Supervisor
Award date16 Nov 2022
Print ISBNs978-94-6384-387-4
Publication statusPublished - 2022


  • fixed-wing UAV
  • vector field
  • unknown dynamics
  • adaptive guidance control
  • formation control


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