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Stability of small-scale UAV helicopters and quadrotors with added payload mass under PID control

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Abstract

The application of rotorcraft to autonomous load carrying and transport is a new frontier for Unmanned Aerial Vehicles (UAVs). This task requires that hovering vehicles remain stable and balanced in flight as payload mass is added to the vehicle. If payload is not loaded centered or the vehicle properly trimmed for offset loads, the robot will experience bias forces that must be rejected. In this paper, we explore the effect of dynamic load disturbances introduced by instantaneously increased payload mass and how those affect helicopters and quadrotors under Proportional-Integral-Derivative flight control. We determine stability bounds within which the changing mass-inertia parameters of the system due to the acquired object will not destabilize these aircraft with this standard flight controller. Additionally, we demonstrate experimentally the stability behavior of a helicopter undergoing a range of instantaneous step payload changes.

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Notes

  1. Rotor thrust is taken as constant, exactly canceling helicopter weight.

  2. Note that all rotations are considered to occur around the unloaded CoG of the helicopter; offset mass effects are accounted for in the load bias torque.

  3. The R-50 control structure does not use a pure integral term—its integral action is derived from position. The value of k i used is inferred.

  4. Compared with helicopters of the same mass, quadrotors have significantly smaller rotors with faster blade tip speeds, making the Froude Numbers very different. Furthermore, unlike small platforms, larger quadrotors more strongly exhibit flapping, complicating the comparison.

  5. In practice all rotorcraft exhibit flapping, however small.

References

  • Amidi, O., Kanade, T., & Miller, J. (1998). Vision-based autonomous helicopter research at Carnegie Mellon Robotics Institute 1991–1997. In Proc. American Helicopter Society international conference.

    Google Scholar 

  • Bernard, M., & Kondak, K. (2009). Generic slung load transportation system using small size helicopters. In Proc. IEEE international conference on robotics and automation.

    Google Scholar 

  • Bisgaard, M., Bendtsen, J., & la Cour-Harbo, A. (2009). Modelling of generic slung load system. Journal of Guidance, Control and Dynamics, 32(2), 573–585.

    Article  Google Scholar 

  • Borenstein, J. (1992). The Hoverbot—an electrically powered flying robot. Unpublished paper, University of Michigan. http://www-personal.umich.edu/~johannb/hoverbot.htm (2009).

  • Bouabdallah, S., Noth, A., & Siegwart, R. (2004). PID vs LQ control techniques applied to an indoor micro quadrotor. In Proc. IEEE/RSJ international conference on intelligent robots and systems.

    Google Scholar 

  • Enns, D., & Keviczky, T. (2006). Dynamic inversion based flight control for autonomous RMAX helicopter. In Proc. American controls conference.

    Google Scholar 

  • Hamel, T., Mahony, R., Lozano, R., & Ostrowski, J. (2002). Dynamic modelling and configuration stabilization for an X4-Flyer. In Proc. 15th triennial world congress of the International Federation of Automatic Control.

    Google Scholar 

  • Kuntz, N., & Oh, P. (2008). Development of autonomous cargo transport for an unmanned aerial vehicle using visual servoing. In Proc. digital systems and control conference.

    Google Scholar 

  • Leishman, J. G. (2006). Principles of helicopter aerodynamics, 2nd edn. New York: Cambridge University Press.

    Google Scholar 

  • Mammarella, M., Campa, G., Napolitano, M., Fravolini, M., & Perhinschi, R. (2008). Machine vision/GPS integration using EKF for the UAV aerial refueling problem. IEEE Transactions on Systems, Man and Cybernetics, 38(6), 791–801.

    Article  Google Scholar 

  • Mettler, B. (2003). Identification, modeling and characteristics of miniature rotorcraft. Nowell: Kluwer Academics Publisher.

    Google Scholar 

  • Michael, N., Fink, J., & Kumar, V. (2009). Cooperative manipulation and transportation with aerial robots. In Proc. robotic science and systems.

    Google Scholar 

  • Pounds, P. E. I., & Dollar, A. M. (2010). Hovering stability of helicopters with elastic constraints. In Proc. ASME dynamic systems and control conference.

    Google Scholar 

  • Pounds, P. E. I., Corke, P. I., & Mahony, R. E. (2010). Modelling and control of a large quadrotor robot. Control Engineering Practice, 18(7), 691–699.

    Article  Google Scholar 

  • Pounds, P. E. I., Bersak, D. R., & Dollar, A. M. (2011). Grasping from the air: hovering capture and load stability. In Proc. international conference on robotics and automation.

    Google Scholar 

  • Prouty, R. (2002). Helicopter performance, stability, and control. Malabar: Krieger Publishing.

    Google Scholar 

  • Raz, R., Rosen, A., & Ronen, T. (1988). Active aerodynamic stabilization of a helicopter/sling-load system. Journal of Aircraft, 26(9), 822–828.

    Google Scholar 

  • Scott, D., Toal, M., & Dale, J. (2007). Vision based sensing for autonomous in-flight refueling. In Proc. of SPIE (Vol. 6561).

    Google Scholar 

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Acknowledgements

The authors would like to thank Joe Acosta of Build Right Fly Right Hobbies, Wallingford CT, USA, Greg Brown and Joseph Belter for their support of this work. This work was supported in part by the Office of Naval Research grant N000141010737.

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Correspondence to Paul E. I. Pounds.

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A preliminary version of this work was presented at International Conference on Robotics and Automation 2011 (Pounds et al. 2011).

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Pounds, P.E.I., Bersak, D.R. & Dollar, A.M. Stability of small-scale UAV helicopters and quadrotors with added payload mass under PID control. Auton Robot 33, 129–142 (2012). https://doi.org/10.1007/s10514-012-9280-5

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  • DOI: https://doi.org/10.1007/s10514-012-9280-5

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