Robust low altitude behavior control of a quadrotor rotorcraft through sliding modes

This paper gives the full dynamical model of a commercially available quadrotor rotorcraft and presents its behavior control at low altitudes through sliding mode control. The control law is very well known for its robustness against disturbances and invariance during the sliding regime. The plant, on the other hand, is a nonlinear one with state variables are tightly coupled. The simulations have shown that the algorithm successfully drives the system towards the desired trajectory with bounded control signals.

[1]  Weiping Li,et al.  Applied Nonlinear Control , 1991 .

[2]  Vadim I. Utkin,et al.  Sliding Modes in Control and Optimization , 1992, Communications and Control Engineering Series.

[3]  John Y. Hung,et al.  Variable structure control: a survey , 1993, IEEE Trans. Ind. Electron..

[4]  E. Misawa.  Discrete-Time Sliding Mode Control for Nonlinear Systems With Unmatched Uncertainties and Uncertain Control Vector , 1997 .

[5]  E. A. Misawa,et al.  Discrete-Time Sliding Mode Control: The Linear Case , 1997 .

[6]  Okyay Kaynak,et al.  A study on robustness property of sliding-mode controllers: a novel design and experimental investigations , 1999, IEEE Trans. Ind. Electron..

[7]  Vadim I. Utkin,et al.  A control engineer's guide to sliding mode control , 1999, IEEE Trans. Control. Syst. Technol..

[8]  Vadim I. Utkin,et al.  On multi-input chattering-free second-order sliding mode control , 2000, IEEE Trans. Autom. Control..

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

[10]  Steven L. Waslander,et al.  The Stanford testbed of autonomous rotorcraft for multi agent control (STARMAC) , 2004, The 23rd Digital Avionics Systems Conference (IEEE Cat. No.04CH37576).

[11]  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).

[12]  P. Castillo,et al.  Stabilization of a mini rotorcraft with four rotors , 2005, IEEE Control Systems.

[13]  Steven Lake Waslander,et al.  Multi-agent quadrotor testbed control design: integral sliding mode vs. reinforcement learning , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[14]  Rogelio Lozano,et al.  Modelling and Control of Mini-Flying Machines , 2005 .

[15]  L. Long,et al.  A Small Semi-Autonomous Rotary-Wing Unmanned Air Vehicle (UAV) , 2005 .

[16]  Glenn P. Tournier,et al.  Estimation and Control of a Quadrotor Vehicle Using Monocular Vision and Moire Patterns , 2006 .