Control of a Quadrotor Helicopter Using Dual Camera Visual Feedback

In this paper we propose a vision-based stabilization and output tracking control method for a model helicopter. A novel two-camera method is introduced for estimating the full six-degrees-of-freedom pose of the helicopter. One of these cameras is located on-board the helicopter, and the other camera is located on the ground. Unlike previous work, these two cameras are set to see each other. The pose estimation algorithm is compared in simulation to other methods and is shown to be less sensitive to errors on feature detection. In order to build an autonomous helicopter, two methods of control are studied: one using a series of mode-based, feedback linearizing controllers and the other using a backstepping-like control law. Various simulations demonstrate the implementation of these controllers. Finally, we present flight experiments where the proposed pose estimation algorithm and non-linear control techniques have been implemented on a remote-controlled helicopter.

[1]  Alfred Gessow,et al.  Aerodynamics of the Helicopter , 1981 .

[2]  S. Shankar Sastry,et al.  Nonlinear control design for slightly non-minimum phase systems: Application to V/STOL aircraft , 1992, Autom..

[3]  A different look at output tracking: control of a vtol aircraft , 1996, Autom..

[4]  Omead Amidi,et al.  An autonomous vision-guided helicopter , 1996 .

[5]  Madieng Seck.  Optimal Motion From Image Sequences : A RiemannianViewpoint , 1998 .

[6]  Bruno Sinopoli,et al.  Hybrid Control of an Autonomous Helicopter , 1998 .

[7]  Robin R. Murphy,et al.  Marsupial-like mobile robot societies , 1999, AGENTS '99.

[8]  S. Sastry.  Nonlinear Systems: Analysis, Stability, and Control , 1999 .

[9]  R. Mahony,et al.  Visual servoing of a class of under-actuated dynamic rigid-body systems , 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

[10]  S. Shankar Sastry,et al.  HIERARCHICAL CONTROL SYSTEM SYNTHESIS FOR ROTORCRAFT-BASED UNMANNED AERIAL VEHICLES , 2000 .

[11]  S. Shankar Sastry,et al.  A vision system for landing an unmanned aerial vehicle , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[12]  Vijay Kumar,et al.  Visual and haptic collaborative tele-presence , 2001, Comput. Graph..

[13]  Robert E. Mahony,et al.  Control of a quadrotor helicopter using visual feedback , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[14]  Robert E. Mahony,et al.  Visual servo trajectory tracking for a four rotor VTOL aerial vehicle , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[15]  Camillo J. Taylor,et al.  Quadrotor control using dual camera visual feedback , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).