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Journal of Intelligent & Robotic Systems

, Volume 84, Issue 1–4, pp 575–599 | Cite as

System Design of a Novel Tilt-Roll Rotor Quadrotor UAV

  • Abdulkerim Fatih Şenkul
  • Erdinç Altuğ
Article

Abstract

Quadrotor helicopters are among one of the most interested topics in the robotics field in the last decade. Regularly, a simple quadrotor has four fixed motors, giving the availability of controlling 4 independent inputs for a 6 degrees-of-freedom (DOF) system. In the recent studies, there is a tendency on changing the controlled system from fixed actuators to the ones that can have dynamic rotations around their axes or planes. This approach is progressing nowadays in order to build more robust versions of quadrotors. The design and control system of a tilt-roll rotor quadrotor has been studied and simulated in this paper. Each of the rotor speeds and their particular angle with respect to the earth frame is adaptively controlled using various control algorithms including cascaded PID. Design implementation of the tiltable geometry is also presented as well as the tilting mechanism’s electronic and CAD design. The mathematical model of the tiltable geometry is given and compared with the previous designs by the help of simulations held on Matlab. The simulations prove that the proposed design is more robust and stable than the regular quadrotor especially when environmental limitations are taken into account.

Keywords

Tilt rotor QTR UAV Flight stability 

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References

  1. 1.
    Castillo, P., Lozano, R., Dzul, A. E.: Modelling and Control of Mini-flying Machines, Advances in Industrial Control series, ISSN 1430-9491 (Springer)Google Scholar
  2. 2.
    Chao, H. Y., Cao, Y. C., Chen, Y. Q.: Autopilots for small unmanned aerial vehicles: a survey. Int. J. Control. Autom. Syst. 8(1), 36–44 (2010)CrossRefGoogle Scholar
  3. 3.
    Lee, D., Kaminer, I., Dobrokhodov, V., Jones, K.: Autonomous feature following for visual surveillance using a small unmanned aerial vehicle with gimbaled camera system. Int. J. Control. Autom. Syst. 8(5), 957–966 (2010)CrossRefGoogle Scholar
  4. 4.
    Han, D., Kim, J., Min, C., Jo, S., Kim, J., Lee, D.: Development of unmanned aerial vehicle (UAV) system with way point tracking and vision-based reconnaissance. Int. J. Control. Autom. Syst. 8(5), 1091–1099 (2010)CrossRefGoogle Scholar
  5. 5.
    Hamel, T., Mahony, R., Lozano, R., Ostrowski, J.: Dynamic modeling and configuration stabilization for an X4-flyer. In: Proceedings of IFAC 15th Triennial World Congress, Barcelona (2002)Google Scholar
  6. 6.
    Altuğ, E., Ostrowski, J. P., Taylor, C. J.: Control of a quadrotor helicopter using dual camera visual feedback. Int. J. Robot. Res. 24(5), 329–341 (2005)CrossRefGoogle Scholar
  7. 7.
    Suter, D., Hamel, T., Mahony, R.: Visual servo control using homography estimation for the stabilization of an X4-flyer. In: Proceedings of the 41st IEEE Conference on Decision and Control, pp 2872–2877 (2002)Google Scholar
  8. 8.
    Moktari, A., Benallegue, A.: Dynamic feedback controller of Euler angles and wind parameters estimation for a quadrotor unmanned aerial vehicle. In: Proceedings of the IEEE Conference on Rob. and Auto., pp 2359–2366 (2004)Google Scholar
  9. 9.
    Dunfied, J., Tarbouchi, M., Labonte, G.: Neural network based control of a four rotor helicopter. In: Proceedings of IEEE International Conference on Industrial Technology, pp 1543–1548 (2004)Google Scholar
  10. 10.
    Earl, M. G., D’Andrea, R.: Real-time attitude estimation techniques applied to a four rotor helicopter. In: Proceedings of IEEE Conference on Decision and Control, pp 3956–3961 (2004)Google Scholar
  11. 11.
    Slazar-Cruz, S., Palomino, A., Lozano, R.: Trajectory tracking for a four rotor mini-aircraft. In: Proceedings of the 44th IEEE Conference on Decision and Control and the European Control Conference, pp 2505–2510 (2005)Google Scholar
  12. 12.
    Escareno, J., Salazar-Cruz, S., Lozano, R.: Embedded control of a four-rotor UAV. In: Proceedings of the American Control Conference, pp 189–204 (2006)Google Scholar
  13. 13.
    Bouabdallah, S., Siegwart, R.: Backstepping and sliding-mode techniques applied to an indoor micro quadrotor. In: Proceedings of the IEEE Conference on Robotics and Automation, pp 2247–2252 (2005)Google Scholar
  14. 14.
    Beji, L., Abichou, A., Zemalache, K. M.: Smooth control of an X4 bidirectional rotors flying robot. In: 5th International Workshop on Robot Motion and Control, pp 181–186 (2005)Google Scholar
  15. 15.
    Castillo, P., Dzul, A. E., Lozano, R.: Real-time stabilization and tracking of a four-rotor mini rotorcraft. IEEE Trans. Control Syst. Technol. 12(4), 510–516 (2004)MathSciNetCrossRefGoogle Scholar
  16. 16.
    Tayebi, A., McGilvray, S.: Attitude stabilization of a VTOL quadrotor aircraft. IEEE Trans. Control Syst. Technol. 14(3), 562–571 (2006)CrossRefGoogle Scholar
  17. 17.
    Gaffey, T.: Large cargo rotorcraft bell helicopter’s perspectives. AHS Forum, 56 (2000)Google Scholar
  18. 18.
    Yeo, H., Johnson, W.: Performance and design investigation of heavy lift tilt-rotor with aerodynamic interference effects. J. Aircr. 46(4), 1231–1239 (2009)CrossRefGoogle Scholar
  19. 19.
    Borst, H. V.: Design and development considerations of the X-19 VTOL aircraft. Ann. N. Y. Acad. Sci. 107, 1749–6632 (1963)Google Scholar
  20. 20.
    Hirschberg, M.J.: An Overview of the History of Vertical and/or Short Take-Off and Landing (V/STOL) Aircraft. In: Proceedings www.vstol.org (2006)
  21. 21.
    Sklar, M.: Diversity in design. Boeing Frontiers Magazine, pp. 44–45, December 2006–January 2007 issue (2006)Google Scholar
  22. 22.
    Cetinsoy, E., Dikyar, S., Hancer, C., Oner, K.T., Sirimoglu, E., Unel, M., Aksit, M.F.: Design and construction of a novel quad tilt-wing UAV. Mechatronics 22, 723–745 (2012)CrossRefGoogle Scholar
  23. 23.
    Ryll, M., Bülthoff, H. H., Giordano, P. R.: Modeling and Control of a Quadrotor UAV with Tilting Propellers. 2012 IEEE International Conference on Robotics and Automation River Centre. Saint Paul, pp. 4606–4613 (2012)Google Scholar
  24. 24.
    Jeong, S.H., Jung, S.: Novel Design and Position Control of an Omni-directional Flying Automobile (Omni-Flymobile). In: International Conference on Control, Automation and Systems 2010, pp 2480–2484. KINTEX, Gyeonggi-do (2010)Google Scholar
  25. 25.
    Salazar-Cruz, S., Lozano, R., Escaren, J.: Stabilization and nonlinear control for a novel trirotor mini-aircraft. Control. Eng. Pract. 17, 886–894 (2009)CrossRefGoogle Scholar
  26. 26.
    Şenkul, F., Altuğ, E.: Modeling and Control of a Novel Tilt – Roll Rotor Quadrotor UAV. In: Proceedings of IEEE International Conference on Unmanned Aircraft Systems (ICUAS’13) Atlanta, pp 1071–1076 (2013)Google Scholar
  27. 27.
    Şenkul, F., Altuğ, E.: Adaptive Control of a Tilt – Roll Rotor Quadrotor UAV. In: Proceedings of IEEE International Conference on Unmanned Aircraft Systems (ICUAS’14), pp 1132–1137, Florida (2014)Google Scholar
  28. 28.
    Wiki. Dji: Flame Wheel F550 Specifications”, retrieved, December 06, 2014 from http://wiki.dji.com/en/index.php/Flame_Wheel_F550_Specifications (2013)
  29. 29.
    Guttenberger, R.: Actuating mechanism for driving a motor vehicle rearview mirror. patent number: US6419368 B1, http://www.google.com/patents/US6419368
  30. 30.
    MCI: Product specification. Mirror actuator 300 series, Code: SPE0099, Rev:7 (2010)Google Scholar
  31. 31.
    T-Motor: Safest propulsion system. retrieved December 10, 2014 from http://rctigermotor.com/ (2014)

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  1. 1.System Dynamics and Control Graduate ProgramIstanbul Technical UniversityİstanbulTurkey
  2. 2.Department of Mechanical EngineeringIstanbul Technical UniversityIstanbulTurkey

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