An Underactuated Control System Design for Adaptive Autopilot of Fixed-Wing Drones

Simone Baldi, Spandan Roy, Kang Yang, Di Liu

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)

Abstract

Effective design of autopilots for fixed-wing unmanned aerial vehicles (UAVs) is still a great challenge, due to unmodeled effects and uncertainties that these vehicles exhibit during flight. Unmodeled effects and uncertainties comprise longitudinal/lateral cross-couplings, as well as poor knowledge of equilibrium points (trimming points) of the UAV dynamics. The main contribution of this article is a new adaptive autopilot design, based on uncertain Euler–Lagrange dynamics of the UAV and where the control can explicitly take into account under-actuation in the dynamics, reduced structural knowledge of cross-couplings and trimming points. This system uncertainty is handled via appropriately designed adaptive laws: stability of the controlled UAV is analyzed. Hardware-in-the-loop tests, comparisons with an Ardupilot autopilot and with a robustified autopilot validate the effectiveness of the control design, even in the presence of strong saturation of the UAV actuators.

Original languageEnglish
JournalIEEE/ASME Transactions on Mechatronics
DOIs
Publication statusAccepted/In press - 3 Feb 2022

Keywords

  • Adaptive control
  • Aerodynamics
  • Autonomous aerial vehicles
  • Autopilot
  • autopilot
  • fixed-wing unmanned aerial vehical (UAV)
  • Mathematical models
  • Propellers
  • Uncertainty
  • Vehicle dynamics

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