Model development and optimal control of quadrotor aerial robot

In this article we address the problem of expanding literature-known model of quadrotor dynamics and the benefits it brings. This extended model is used together with LQR controller to show the capability of controlled flight and intuitive 3D trajectory composition.

[1]  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).

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

[3]  Roman Czyba Design of attitude control system for an UAV type-quadrotor based on dynamic contraction method , 2009, 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[4]  Robert Mahony,et al.  Modelling and control of a large quadrotor robot , 2010 .

[5]  A.R.S. Bramwell,et al.  Bramwell's Helicopter Dynamics , 2001 .

[6]  Robert Mahony,et al.  Modelling and control of a quad-rotor robot , 2006 .

[7]  Roland Siegwart,et al.  Design and control of an indoor micro quadrotor , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[8]  Rogelio Lozano,et al.  DYNAMIC MODELLING AND CONFIGURATION STABILIZATION FOR AN X4-FLYER. , 2002 .

[9]  Robert Mahony,et al.  Design of a four-rotor aerial robot , 2002 .

[10]  Claire J. Tomlin,et al.  Quadrotor Helicopter Trajectory Tracking Control , 2008 .

[11]  J. Gordon Leishman,et al.  Principles of Helicopter Aerodynamics , 2000 .