Fuzzy Adaptive PID Control for Translational Flight of a Tail-Sitter UAV

  • Leiping Xi
  • Dizhou Zhang
  • Sen YangEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 517)


This study proposes a new fuzzy adaptive PID control strategy to enhance the performance of a tail-sitter UAV in translational flight. First of all, the dynamic model of UAV is built, and then the interference of model parameter perturbation and the disturbance in translational flight is analyzed; Finally, the fuzzy adaptive PID controller is designed to solve the problem of model uncertainty. The simulation results show that the controller has good tracking quality and robustness.


Tail-sitter UAV Vertical takeoff and landing Fuzzy adaptive PID control Flight control 


  1. 1.
    Xi, L., Zhu, Q., Zhang, D.: Sliding mode control design based on fuzzy reaching law for yaw angle of a Tail-sitter UAV. In: 2016 22nd International Conference on Automation and Computing, Colchester, United Kingdom, vol. 09, pp. 238–243 (2016)Google Scholar
  2. 2.
    Stone, H.: Aerodynamic modelling of a wing-in-slip—stream tail-sitter UAV. In: 2002 Biennial International Powered Lift Conference and Exhibit, Williamsburg, 5–7 Nov 2002Google Scholar
  3. 3.
    Hugh Stone, R.: The T-wing tail-sitter research UAV. In: 2002 Biennial International Powered Lift Conference and Exhibit, pp. 1–10 (2002)Google Scholar
  4. 4.
    Mengzhao, L.: Moment of inertia of aircraft and its estimation. J. Aircr. Des. 3, 13–20 (1997)Google Scholar
  5. 5.
    Etkin, B., Reid, L.D.: Dynamics of Flight Stability and Control. Wiley (1996)Google Scholar
  6. 6.
    Escareno, J., Sanchez, A., Garcia, O., Lozano, R.: Modeling and global control of the longitudinal dynamics of a coaxial convertible mini-UAV in hover mode. J. Intell. Rob. Syst. 54, 261–273 (2009)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of UAV EngineeringArmy Engineering UniversityShijiazhuangChina

Personalised recommendations