Adaptive and robust control of quadrotor aircrafts with input saturation

• Published in: Nonlinear dynamics Vol. 89; no. 1; pp. 255 - 265
• Main Authors: Li, Shushuai, Wang, Yaonan, Tan, Jianhao
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.07.2017; Springer Nature B.V
• Subjects: Actuators; Adaptive control; Aging aircraft; Aircraft stability; Attitude control; Automotive Engineering; Classical Mechanics; Control; Control stability; Control systems; Control theory; Controllers; Degradation; Disturbances; Dynamical Systems; Engineering; Errors; Formalism; Mathematical analysis; Mechanical Engineering; Nonlinear dynamics; Nonlinear equations; Original Paper; Parameter uncertainty; Robust control; Satellite tracking; Saturation; Simulation; Tracking errors; Unmanned aerial vehicles; Unmanned helicopters; Vibration; Input saturation; Quadrotor aircrafts; Saturation control; Adaptive robust control
• ISSN: 0924-090X; 1573-269X
• DOI: 10.1007/s11071-017-3451-z

This paper proposes a novel adaptive robust controller for the position and attitude tracking of quadrotor unmanned aerial vehicles subjected to additive disturbances and parameter uncertainties. The nonlinear dynamic equations of the quadrotor are obtained by using the Newton–Euler formalism. An emendatory tracking error is introduced to the modified controller to prevent the system and adaption law from degradation or even instability due to control input saturation caused by actuator constraints. The stability of the closed-loop aircraft system under the proposed control law is guaranteed via Lyapunov theory despite the sustained disturbances and actuator saturation. Simulation results are presented to demonstrate the effectiveness of the proposed control method, and the robustness against unknown nonlinear dynamics caused by parametric uncertainties.