Autonomous landing of quadrotor based on ground effect modelling

Due to the ground effect, it is difficult for quadrotor to take off or land precisely. This paper presents a new ground effect model of quadrotor based on the Cheeseman's model for helicopter, and a ground effect compensator is introduced into the control system. Meanwhile by combining the proportional-integral-derivative (PID) control method and the robust compensation technique, a robust altitude controller is designed to keep the height of quadrotor and land it at an accurate time. Experimental results demonstrate the effectiveness of our ground effect model and the control method.

[1]  Roland Siegwart,et al.  Full control of a quadrotor , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[2]  Yisheng Zhong,et al.  Real-Time Implementation of Decoupled Controllers for Multirotor Aircrafts , 2014, J. Intell. Robotic Syst..

[3]  Daewon Lee,et al.  Autonomous landing of a VTOL UAV on a moving platform using image-based visual servoing , 2012, 2012 IEEE International Conference on Robotics and Automation.

[4]  Rogelio Lozano,et al.  Adaptive control for a radio‐controlled helicopter in a vertical flying stand , 2004 .

[5]  David Hyunchul Shim,et al.  Outdoor autonomous landing on a moving platform for quadrotors using an omnidirectional camera , 2014, 2014 International Conference on Unmanned Aircraft Systems (ICUAS).

[6]  Kenzo Nonami,et al.  3D Vision Based Landing Control of a Small Scale Autonomous Helicopter , 2007 .

[7]  Claire J. Tomlin,et al.  Quadrotor Helicopter Flight Dynamics and Control: Theory and Experiment , 2007 .

[8]  Derek W. Seward,et al.  Development of a Multi-Arm Mobile Robot for Nuclear Decommissioning Tasks , 2007 .

[9]  Robert E. Mahony,et al.  Landing a VTOL Unmanned Aerial Vehicle on a Moving Platform Using Optical Flow , 2012, IEEE Transactions on Robotics.

[10]  I. Sharf,et al.  Ground effect experiments and model validation with Draganflyer X8 rotorcraft , 2014, 2014 International Conference on Unmanned Aircraft Systems (ICUAS).

[11]  G. Anitha,et al.  Vision Based Autonomous Landing of an Unmanned Aerial Vehicle , 2012 .

[12]  Rogelio Lozano,et al.  Adaptive altitude control for a small helicopter in a vertical flying stand , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[13]  Boubaker Daachi,et al.  ROBUST FEEDBACK LINEARIZATION AND GH∞ CONTROLLER FOR A QUADROTOR UNMANNED AERIAL VEHICLE , 2005 .

[14]  Abdelaziz Benallegue,et al.  Backstepping Control for a Quadrotor Helicopter , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[15]  MehmetÖnder Efe Robust Low Altitude Behavior Control of a Quadrotor Rotorcraft Through Sliding Modes , 2007 .

[16]  Tyler Ryan,et al.  Modelling of Quadrotor Ground Eect Forces via Simple Visual Feedback and Support Vector Regression , 2012 .

[17]  Gaurav S. Sukhatme,et al.  Landing a Helicopter on a Moving Target , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[18]  T. Madani,et al.  Sliding Mode Observer and Backstepping Control for a Quadrotor Unmanned Aerial Vehicles , 2007, 2007 American Control Conference.

[19]  Kenichiro Nonaka,et al.  Integral sliding mode altitude control for a small model helicopter with ground effect compensation , 2011, Proceedings of the 2011 American Control Conference.