Robust PID control of quadrotors with power reduction analysis

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Abstract

This paper presents a novel robust controller applied to a quadrotor vehicle for regulation and trajectory tracking tasks. In the proposed scheme, the quadrotor position is controlled by a proportional integral derivative (PID) controller, while the orientation control is achieved through a model-based controller. The proposed controller is combined with a power reduction methodology, which includes a controller-gains tuning stage using the cuckoo search algorithm, and a minimum jerk trajectory design stage. The performance of the new controller is assessed in a free-disturbance case and under the effect of parametric uncertainty and aero-dynamical disturbances. The new controller is compared against two linear PID controllers and a nonlinear sliding mode-based controller. Numerical simulations demonstrate the superiority of the proposed scheme as well as its robustness against different types of perturbations. Also, it is proven that the power demanded by any controller is reduced when using the power reduction methodology.

Original languageEnglish
Pages (from-to)47-62
Number of pages16
JournalISA Transactions
Volume98
DOIs
StatePublished - Mar 2020

Keywords

  • Cuckoo search algorithm
  • Quadrotor nonlinear dynamic model
  • Quadrotor unmanned aerial vehicle
  • Reduction of power consumption
  • Robust proportional integral derivative control
  • Sliding modes

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