Four Rotors Helicopter Yaw and Altitude Stabilization

AbstractSIn this paper an appropriate four rotors helicopternonlinear dynamic model for identication and control lawsynthesis is obtained via modelization procedure where severalphenomena are included like gyroscopic effects and aerodynamicfriction. The numerical simulations of the model obtained showthat the control law stabilizes the four rotors helicopter withgood tracking. I. I NTRODUCTION Autonomous Unmanned Air vehicles (UAV) are increas-ingly popular platforms, due to their use in military applica-tions, trafc surveillance, environment exploration, structureinspection, mapping and aerial cinematography [1]. For theseapplications, the ability of helicopters to take off and landvertically, to perform hover ight, as well as their agility, makethem ideal vehicles.Four rotors helicopter Fig.1 have several basic advantagesover manned systems including increased manoeuvrability[2],low cost, reduced radar signatures. Vertical take off andlanding type UAVs exhibit further advantages in the manoeu-vrability features. Such vehicles are to require little humanintervention from take-off to landing. This helicopter is oneof the most complex ying systems that exist. This is duepartly to the number of physical effects (Aerodynamic effects,gravity, gyroscopic, friction and inertial counter torques) actingon the system [4].The idea of using four rotors is not new. Afull-scale four rotors helicopter was built by De Bothezat in1921[3].Helicopters are dynamically unstable and therefore suitablecontrol methods are needed to stabilise them. In order to beable to optimize the operation of the control loop in terms ofstability, precision and reaction time, it is essential to knowthe dynamic behavior of the process wich can be establishedby a representative mathematical model.II. D

[1]  P. McKerrow Modelling the Draganflyer four-rotor helicopter , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[2]  Arjan van der Schaft,et al.  Non-linear dynamical control systems , 1990 .

[3]  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).

[4]  Rogelio Lozano,et al.  Real-time stabilization and tracking of a four-rotor mini rotorcraft , 2004, IEEE Transactions on Control Systems Technology.

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

[6]  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).

[7]  A. Benallegue,et al.  Exact linearization and noninteracting control of a 4 rotors helicopter via dynamic feedback , 2001, Proceedings 10th IEEE International Workshop on Robot and Human Interactive Communication. ROMAN 2001 (Cat. No.01TH8591).

[8]  T. Madani,et al.  Commande adaptative décentralisée à structure variable d'une classe de systèmes non-linéaires interconnectés : application à un robot volant , 2007 .

[9]  L. Derafa,et al.  Dynamic Modelling and Experimental Identification of Four Rotors Helicopter Parameters , 2006, 2006 IEEE International Conference on Industrial Technology.