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Control-Oriented Physical Input Modelling for a Helicopter UAV

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Abstract

It has become standard in the helicopter UAV control literature to use the main and tail rotor thrusts, and the main rotor flapping angles as inputs. However, the physically-controllable inputs are servomotors which actuate the main rotor cyclic and collective pitch, and the tail rotor collective pitch. Precise treatments of the helicopter model exist which study the physical inputs. However, these models remain intractable for practical implementation motivating researchers to use rough approximations such as simple gain relationships between thrust and collective. We propose and identify a physical input model which retains the accuracy of a general model but is algebraically simple enough for its use in control design. As a result of experimental validation, the vehicle’s velocity is incorporated into the model to improve its accuracy.

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References

  1. Abbeel, P., Coates, A., Quigley, M., Ng, A.Y.: An application of reinforcement learning to aerobatic helicopter flight. In: Proceedings of the Twentieth Conference on Advances in Neural Information Processing Systems. Vancouver, BC (2007)

  2. Ahmed, B.: Autonomous landing of lightweight helicopters on moving platforms such as ships. Ph.D. thesis, The University of New South Wales at The Australian Defence Force Academy, Canberra, Australia (2009)

  3. Barczyk, M.: Nonlinear state estimation and modeling of a helicopter UAV. Ph.D. thesis, Dept. of Electrical and Computer Engineering, University of Alberta, Edmonton, AB (2012)

  4. Bisgaard, M.: Modeling, estimation, and control of helicopter slung load system. Ph.D. thesis, Aalborg University, Aalborg, Denmark (2007)

  5. Cai, G., Chen, B.M., Lee, T.H.: Unmanned Rotorcraft Systems. Advances in Industrial Control. Springer-Verlag, London, UK (2011)

    Book  MATH  Google Scholar 

  6. Castillo, P., Lozano, R., Dzul, A.E.: Modelling and Control of Mini-Flying Machines. Springer-Verlag, London, UK (2005)

    Google Scholar 

  7. Gavrilets, V., Frazzoli, E., Mettler, B., Piedmonte, M., Feron, E.: Aggressive maneuvering of small autonomous helicopters: a human-centered approach. Int. J. Robot. Res. 20, 795–807 (2001)

    Article  Google Scholar 

  8. Godbolt, B., Lynch, A.F.: A novel cascade controller for a helicopter UAV with small body force compensation. In: Proceedings of the American Control Conference, 2013, pp. 802–807. Washington, DC (2013)

  9. Godbolt, B., Lynch, A.F.: Model-based helicopter UAV control: experimental results. J. Intell. Robot. Syst. (2014). doi:10.1007/s10846-013-9898-3

  10. Godbolt, B., Vitzilaios, N.I., Lynch, A.F.: Experimental validation of a helicopter autopilot design using model-based PID control. J. Intell. Robot. Syst. 70, 385–399 (2013)

    Article  Google Scholar 

  11. Kendoul, F.: Survey of advances in guidance, navigation, and control of unmanned rotorcraft systems. J. Field Robot. 29, 315–378 (2012)

    Article  Google Scholar 

  12. Kim, S.K.: Modeling, identification, and trajectory planning for a model-scale helicopter. Ph.D. thesis, University of Michigan, Ann Arbour, MI (2001)

  13. Koo, T.J., Sastry, S.: Output tracking control design of a helicopter model based on approximate linearization. In: Proceedings of the 37th IEEE Conference on Decision and Control, pp. 3635–3640. Tampa, FL (1998)

  14. Marconi, L., Naldi, R.: Robust full degree-of-freedom tracking control of a helicopter. Automatica 43, 1909–1920 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  15. Mettler, B.: Identification Modeling and Characteristics of Miniature Rotorcraft. Kluwer Academic Publishers, Norwell, MA (2003)

    Book  Google Scholar 

  16. Peng, K., Cai, G., Chen, B.M., Dong, M., Lum, K.Y., Lee, T.H.: Design and implementation of an autonomous flight control law for a UAV helicopter. Automatica 45, 2333–2338 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  17. Raptis, I.A., Valavanis, K.P., Moreno, W.A.: A novel nonlinear backstepping controller design for helicopters using the rotation matrix. IEEE Trans. Control Syst. Technol. 19, 465–473 (2011)

    Article  Google Scholar 

  18. Shim, H.: Hierarchical flight control system synthesis for rotorcraft-based unmanned aerial vehicles. Ph.D. thesis, Dept. of Mechanical Engineering, University Of California, Berkeley, CA (2000)

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Authors and Affiliations

  1. Applied Nonlinear Controls Laboratory, Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada, T6G 2V4

    Bryan Godbolt & Alan F. Lynch

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  1. Bryan Godbolt
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  2. Alan F. Lynch
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Correspondence to Alan F. Lynch.

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Godbolt, B., Lynch, A.F. Control-Oriented Physical Input Modelling for a Helicopter UAV. J Intell Robot Syst 73, 209–217 (2014). https://doi.org/10.1007/s10846-013-9933-4

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  • DOI: https://doi.org/10.1007/s10846-013-9933-4

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