Abstract
This paper presents an experimental study of variable collective-pitch rotor systems for multirotor helicopter applications. An experimental research facility has been established to conduct this research. The facility enables the high-resolution measurement of forces and torques produced by rotor systems. The power consumption of the rotor system during experimentation can also be recorded. The experimental research facility also allows for the characterisation of the effect of rotor systems on multirotor helicopter performance. It is shown that the variable collective-pitch rotors have a significant performance advantage over fixed-pitch rotors when comparing thrust response, and multirotor helicopter step input response performance. Further, it is observed that variable collective-pitch rotors are more efficient in terms of energy consumption than comparable fixed-pitch rotors under similar operating conditions.
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Abbeel, P., Coates, A., Quigley, M., Ng, A.Y.: An application of reinforcement learning to aerobatic helicopter flight. Adv. Neural Inf. Process. Syst. 19, 1 (2007)
Alaimo, A., Artale, V., Milazzo, C.L.R., Ricciardello, A.: PID controller applied to hexacopter flight. J. Intell. Robot. Syst. 73(1-4), 261–270 (2014)
Astrom, K.J., Hagglund, T.: PID controllers: theory, design, and tuning, 2 edn. Instrument Society of America. Research Triangle Park, NC (1995)
Borenstein, J.: The hoverbot - an electrically powered flying robot (1992)
Boṡnak, M., Matko, D., BlaŻiċ, S.: Quadrocopter hovering using position-estimation information from inertial sensors and a high-delay video system. J. Intell. Robot. Syst. 67(1), 43–60 (2012)
Bouabdallah, S., Noth, A., Siegwart, R.: PID vs LQ control techniques applied to an indoor micro quadrotor. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2004, vol. 3, pp 2451–2456 (2004)
Bresciani, T.: Modelling, identification and control of a quadrotor helicopter. Unpublished masters thesis, lund university, lund, sweden (2008)
Choi, M.H., Porter, R., Shirinzadeh, B.: Comparison of attitude determination methodologies for implementation with 9DOF, low cost inertial measurement unit for autonomous aerial vehicles. Int. J. Intell. Mechatron. Robot. 3(2), 1–15 (2013)
Clark, L., Shirinzadeh, B., Tian, Y., Oetomo, D.: Laser-based sensing, measurement, and misalignment control of coupled linear and angular motion for ultrahigh precision movement. IEEE/ASME Trans. Mechatron. 20(1), 84–92 (2015)
Cook, M.V.: Flight Dynamics Principles: A Linear Systems Approach to Aircraft Stability and Control, 2nd. Elsevier Aerospace Engineering Series. Butterworth-Heinemann, Great Britain (2007)
Cutler, M., Ure, N.K., Michini, B., How, J.P.: Comparison of fixed and variable pitch actuators for agile quadrotors. In: AIAA Guidance, Navigation, and Control Conference (2010)
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(10), 795–807 (2001)
Hooper, R.: 3D-printing drone squirts foam to pick up waste. New Sci. 222(2968), 21 (2014)
Kuethe, A., Chow, C.Y.: Foundations of Aerodynamics, 5th edn. Wiley, New York (1998)
Lee, D.J., 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)
Leishman, J.G.: Principles of helicopter aerodynamics. Cambridge Aerospace Series, Cambridge University Press, New York (2006)
Madgwick, S.O., Harrison, A.J., Vaidyanathan, R.: Estimation of imu and marg orientation using a gradient descent algorithm. In: IEEE International Conference on Rehabilitation Robotics, 2011, pp 1–7. IEEE (2011)
Mahony, R., Kumar, V., Corke, P.: Multirotor aerial vehicles: Modeling, estimation, and control of quadrotor. IEEE Robot. Autom. Mag. 19(3), 20–32 (2012)
McCormack, A.S., Godfrey, K.R.: Rule-based autotuning based on frequency domain identification. IEEE Trans. Control Syst. Technol. 6(1), 43–61 (1998)
Mellinger, D., Michael, N., Kumar, V.: Trajectory generation and control for precise aggressive maneuvers with quadrotors. Int. J. Robot. Res. 31(5), 664–674 (2012)
Orsag, M., Cesic, J., Haus, T., Bogdan, S.: Spincopter wing design and flight control. J. Intell. Robot. Syst. 70(1-4), 165–179 (2013)
Pestana, J., Mellado-Bataller, I., Sanchez-Lopez, J.L., Fu, C., Mondragón, I.F., Campoy, P.: A general purpose configurable controller for indoors and outdoors gps-denied navigation for multirotor unmanned aerial vehicles. J. Intell. Robot. Syst. 73(1-4), 387–400 (2014)
Pounds, P., Mahony, R.: Design principles of large quadrotors for practical applications. In: IEEE International Conference on Robotics and Automation, 2009, pp 3265–3270
Tan, R., Kumar, M.: Tracking of ground mobile targets by quadrotor unmanned aerial vehicles. Unmanned Syst. 02(02), 157–173 (2014)
Tayebi, A., McGilvray, S.: Attitude stabilization of a vtol quadrotor aircraft. IEEE Trans. Control Syst. Technol. 14(3), 562–571 (2006)
Wang, X., Shirinzadeh, B.: High-order nonlinear differentiator and application to aircraft control. Mech. Syst. Signal Process. 46(2), 227–252 (2014)
Wang, X., Shirinzadeh, B.: Nonlinear multiple integrator and application to aircraft navigation. IEEE Trans. Aerosp. Electron. Syst. 50(1), 607–622 (2014)
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Porter, R., Shirinzadeh, B. & Choi, M.H. Experimental Analysis of Variable Collective-pitch Rotor Systems for Multirotor Helicopter Applications. J Intell Robot Syst 83, 271–288 (2016). https://doi.org/10.1007/s10846-015-0311-2
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DOI: https://doi.org/10.1007/s10846-015-0311-2