On trajectory tracking model predictive control of an unmanned quadrotor helicopter subject to aerodynamic disturbances

K. Alexis, G. Nikolakopoulos, A. Tzes

Research output: Contribution to journalArticle

Abstract

In this article a model predictive control (MPC) strategy for the trajectory tracking of an unmanned quadrotor is presented. The quadrotor's dynamics are modeled using a hybrid systems approach and, specifically, a set of piecewise affine (PWA) systems around different operating points of the translational and rotational motions. The proposed control scheme is dual and consists of an integral MPC for the translational motions, followed by an MPC scheme for the tracking of the quadrotor's attitude motions. By the utilization of PWA representations, the controller is computed for a larger part of the quadrotor's flight envelope, which provides more control authority for aggressive maneuvering. The proposed dual control scheme is able to calculate optimal control actions with robustness against atmospheric disturbances (e.g. wind gusts) and with respect to the physical constraints of the quadrotor (e.g. maximum lifting forces or fixed thrust limitations in order to extend flight endurance). Extended simulation studies indicate the efficiency of the MPC scheme, both in trajectory tracking and aerodynamic disturbance attenuation.

Original languageEnglish (US)
Pages (from-to)209-224
Number of pages16
JournalAsian Journal of Control
Volume16
Issue number1
DOIs
StatePublished - Jan 2014

Keywords

  • Unmanned aerial vehicles
  • model predictive control
  • quadrotor
  • rotorcraft

ASJC Scopus subject areas

  • Control and Systems Engineering

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