Trajectory Tracking For A Quadrotor Under Wind Perturbations: Sliding Mode Control With State-Dependent Gains

Gabriele Perozzi (1) , Denis Efimov (2) , Jean-Marc Biannic (3) , Laurent Planckaert (1)

1 LMFL - Laboratoire de Mécanique des Fluides de Lille - Kampé de Fériet
2 NON-A-POST - Non-Asymptotic estimation for online systems
3 ONERA, Université de Toulouse [Toulouse]

The problem of position tracking of a mini drone subject to wind perturbations is investigated. The solution is based on a detailed unmanned aerial vehicle (UAV) model, with aerodynamic coefficients and external disturbance components, which is introduced in order to better represent the impact of the wind field. Then, upper bounds of wind-induced disturbances are characterized, which allow a sliding mode control (SMC) technique to be applied with guaranteed convergence properties. The peculiarity of the considered case is that the disturbance upper bounds depend on the control amplitude itself (i.e. the system is nonlinear in control), which leads to a new procedure for the control tuning presented in the paper. The last part of the paper is dedicated to the analysis and reduction of chattering effects, as well as investigation of rotor dynamics issues. Conventional SMC with constant gains, proposed first order SMC, and proposed quasi-continuous SMC are compared. Nonlinear UAV simulator, validated through in-door experiments, is used to demonstrate the effectiveness of the proposed controls.

Mots clés: Sliding mode control; Wind rejection; Aerodynamic coefficients; Quadrotor modeling

Domaines: Automatique; Robotique [cs.RO]; Systèmes et contrôle [cs.SY]; Automatique / Robotique

Gabriele Perozzi, Denis Efimov, Jean-Marc Biannic, Laurent Planckaert. Trajectory Tracking For A Quadrotor Under Wind Perturbations: Sliding Mode Control With State-Dependent Gains. Journal of The Franklin Institute, inPress, ⟨10.1016/j.jfranklin.2018.04.042⟩. ⟨hal-01798700⟩