Trajectory tracking for quadrotor UAV transporting cable-suspended payload in wind presence

In this paper, trajectory tracking for a quadrotor unmanned aerial vehicle (UAV) is considered in the presence of a cable-suspended payload and wind as unknown disturbances. It is assumed that the wind disturbance is slowly time varying and affects quadrotor position and orientation independently. Nonlinear robust strategies, such as backstepping and sliding mode control could be used for trajectory tracking; however, they fail to stabilize the system in the presence of payload or wind, or both together. We have proposed a combined backstepping and super-twisting integral sliding mode strategy to stabilize the system. Conventional sliding mode control suggests discontinuous control signals and suffers from the chattering phenomenon whereas its super-twisting integral version suggests continuous control signals, which makes it implementable and chattering free.

[1]  Dennis S. Bernstein,et al.  Adaptive control of a quadrotor UAV transporting a cable-suspended load with unknown mass , 2014, 53rd IEEE Conference on Decision and Control.

[2]  Roland Siegwart,et al.  PID vs LQ control techniques applied to an indoor micro quadrotor , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[3]  Abdelaziz Benallegue,et al.  Dynamic feedback controller of Euler angles and wind parameters estimation for a quadrotor unmanned aerial vehicle , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[4]  Rafael Fierro,et al.  Trajectory generation for swing-free maneuvers of a quadrotor with suspended payload: A dynamic programming approach , 2012, 2012 IEEE International Conference on Robotics and Automation.

[5]  Rogelio Lozano,et al.  Swing-attenuation for a quadrotor transporting a cable-suspended payload. , 2017, ISA transactions.

[6]  Pat Hanrahan,et al.  Towards a Drone Cinematographer: Guiding Quadrotor Cameras using Visual Composition Principles , 2016, ArXiv.

[7]  Steven Lake Waslander,et al.  Planning Paths for Package Delivery in Heterogeneous Multirobot Teams , 2015, IEEE Transactions on Automation Science and Engineering.

[8]  Taeyoung Lee,et al.  Geometric tracking control of a quadrotor UAV on SE(3) , 2010, 49th IEEE Conference on Decision and Control (CDC).

[9]  Rogelio Lozano,et al.  Trajectory Control of a Quadrotor Subject to 2D Wind Disturbances , 2013, J. Intell. Robotic Syst..

[10]  Charles Richter,et al.  Polynomial Trajectory Planning for Aggressive Quadrotor Flight in Dense Indoor Environments , 2016, ISRR.

[11]  H. Jin Kim,et al.  Feedback linearization vs. adaptive sliding mode control for a quadrotor helicopter , 2009 .

[12]  Rogelio Lozano,et al.  Second order sliding mode controllers for altitude control of a quadrotor UAS: Real-time implementation in outdoor environments , 2017, Neurocomputing.

[13]  Steven L. Waslander,et al.  Wind Disturbance Estimation and Rejection for Quadrotor Position Control , 2009 .

[14]  Chen Wang,et al.  Trajectory Tracking Control for Quadrotor Robot Subject to Payload Variation and Wind Gust Disturbance , 2016, Journal of Intelligent & Robotic Systems.

[15]  Haider A. F. Almurib,et al.  Control and path planning of quadrotor aerial vehicles for search and rescue , 2011, SICE Annual Conference 2011.

[16]  Jaime A. Moreno,et al.  Strict Lyapunov Functions for the Super-Twisting Algorithm , 2012, IEEE Transactions on Automatic Control.

[17]  Rogelio Lozano,et al.  Passivity based control for a quadrotor UAV transporting a cable-suspended payload with minimum swing , 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

[18]  Roland Siegwart,et al.  Backstepping and Sliding-mode Techniques Applied to an Indoor Micro Quadrotor , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.