Not logged in.

Contribution Details

Type Journal Article
Scope Discipline-based scholarship
Title Nonlinear MPC for Quadrotor Fault-Tolerant Control
Organization Unit
Authors
  • Fang Nan
  • Sihao Sun
  • Philipp Foehn
  • Davide Scaramuzza
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Journal Title IEEE Robotics and Automation Letters
Publisher Institute of Electrical and Electronics Engineers
Geographical Reach international
ISSN 2377-3766
Volume 7
Number 2
Page Range 5047 - 5054
Date 2022
Abstract Text The mechanical simplicity, hover capabilities, and high agility of quadrotors lead to a fast adaption in the industry for inspection, exploration, and urban aerial mobility. On the other hand, the unstable and underactuated dynamics of quadrotors render them highly susceptible to system faults, especially rotor failures. In this work, we propose a fault-tolerant controller using nonlinear model predictive control (NMPC) to stabilize and control a quadrotor subjected to the complete failure of a single rotor. Differently from existing works, which either rely on linear assumptions or resort to cascaded structures neglecting input constraints in the outer-loop, our method leverages full nonlinear dynamics of the damaged quadrotor and considers the thrust constraint of each rotor. Hence, this method could effectively perform upset recovery from extreme initial conditions. Extensive simulations and real-world experiments are conducted for validation, which demonstrates that the proposed NMPC method can effectively recover the damaged quadrotor even if the failure occurs during aggressive maneuvers, such as flipping and tracking agile trajectories.
Digital Object Identifier 10.1109/LRA.2022.3154033
Other Identification Number merlin-id:22186
PDF File Download from ZORA
Export BibTeX
EP3 XML (ZORA)