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On Quadrotor Navigation Using Fuzzy Logic Regulators

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7653))

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Abstract

In this paper the cascaded fuzzy controller system for quadrotor steering and stabilizing was deliberated. The mathematical model of quadrotor and its cascaded fuzzy controller were simulated using Matlab Simulink software. The fuzzy system was divided into three subsystems for controlling position and speed of the quadrotor and for steering rotation speed of propellers. In the article the square trajectory of quadrotor flight was presented as a system test.

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References

  1. Arama, B., Barissi, S., Houshangi, N.: Control of an unmanned coaxial helicopter using hybrid fuzzy-PID controllers. In: 2011 24th Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 001064–001068 (2011)

    Google Scholar 

  2. Bouabdallah, S.: Design and Control of Quadrotors with Application to Autonomous Flying. Master’s thesis, Swiss Federal Institute of Technology (2007)

    Google Scholar 

  3. Castillo, P., Lozano, R., Dzul, A.: Stabilization of a mini rotorcraft with four rotors. IEEE Control Systems 25(6), 45–55 (2005)

    Article  MathSciNet  Google Scholar 

  4. Hoffmann, F., Goddemeier, N., Bertram, T.: Attitude estimation and control of a quadrocopter. In: 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1072–1077 (October 2010)

    Google Scholar 

  5. Hoffmann, G.M., Huang, H., Wasl, S.L., Claire, E.: Quadrotor helicopter flight dynamics and control: Theory and experiment. In: Proc. of the AIAA Guidance, Navigation, and Control Conference (2007)

    Google Scholar 

  6. Krol, D., Golaszewski, J.: A simulation study of a helicopter in hover subjected to air blasts. In: SMC 2011, pp. 2387–2392. IEEE Computer Society (2011)

    Google Scholar 

  7. Krol, D., Lower, M., Szlachetko, B.: Selection and setting of an intelligent fuzzy regulator based on nonlinear model simulations of a helicopter in hover. New Generation Computing 27, 215–237 (2009)

    Article  MATH  Google Scholar 

  8. Li, J., Li, Y.: Dynamic analysis and PID control for a quadrotor. In: 2011 International Conference on Mechatronics and Automation (ICMA), pp. 573–578 (2011)

    Google Scholar 

  9. Lower, M., Król, D., Szlachetko, B.: Building the Fuzzy Control System Based on the Pilot Knowledge. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS (LNAI), vol. 3683, pp. 1373–1379. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  10. Raza, S.A., Gueaieb, W.: Fuzzy logic based quadrotor flight controller. In: ICINCO-ICSO 2009, pp. 105–112 (2009)

    Google Scholar 

  11. Raza, S.A., Gueaieb, W.: Motion Control, chap. Intelligent Flight Control of an Autonomous Quadrotor. InTech (2010), http://www.intechopen.com/books/motion-control/intelligent-flight-control-of-an-autonomous-quadrotor

  12. Santos, M., Lopez, V., Morata, F.: Intelligent fuzzy controller of a quadrotor. In: 2010 International Conference on Intelligent Systems and Knowledge Engineering (ISKE), pp. 141–146 (2010)

    Google Scholar 

  13. Schollig, A., Hehn, M., Lupashin, S., D’Andrea, R.: Feasiblity of motion primitives for choreographed quadrocopter flight. In: American Control Conference (ACC), July 1, pp. 3843–3849 (2011)

    Google Scholar 

  14. Szlachetko, B., Lower, M.: Stabilisation and Steering of Quadrocopters Using Fuzzy Logic Regulators. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2012, Part I. LNCS, vol. 7267, pp. 691–698. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

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Szlachetko, B., Lower, M. (2012). On Quadrotor Navigation Using Fuzzy Logic Regulators. In: Nguyen, NT., Hoang, K., JÈ©drzejowicz, P. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2012. Lecture Notes in Computer Science(), vol 7653. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34630-9_22

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  • DOI: https://doi.org/10.1007/978-3-642-34630-9_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34629-3

  • Online ISBN: 978-3-642-34630-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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