Optimal-power Configurations for Hover Solutions in Mono-spinners

Rotary-wing flying machines draw attention within the UAV community for their in-place hovering capability, and recently, holonomic motion over fixed-wings. However, they still fall behind in terms of the flight time, power consumption, and safety for centrally-powered and redundant multi-copters have been suggested and studied. In this paper, we investigate about the power-optimality in a mono-spinner, i.e., a class of rotary-wing UAVs with one rotor only, whose main body has a streamlined shape for producing additional lift when counter-spinning the rotor. We provide a detailed dynamic model of our mono-spinner. Two configurations are studied: (1) a symmetric configuration, in which the rotor is aligned with the fuselage's COM, and (2) an asymmetric configuration, in which the rotor is located with an offset from the fuselage's COM. While the former can generate an in-place hovering flight condition, the latter can achieve trajectory tacking in 3D space by resolving the yaw and precession rates. Furthermore, it is shown that by introducing a tilting angle between the rotor and the fuselage, within the asymmetric design, one can further minimize the power consumption without compromising the overall stability. It is shown that an energy optimal solution can be achieved through proper aerodynamic design of the mono-spinner for the first time.

[1]  H. Hörandel,et al.  The lofar radio telescope as cosmic-ray detector , 2013 .

[2]  Mark Yim,et al.  An underactuated propeller for attitude control in micro air vehicles , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[3]  Raffaello D'Andrea,et al.  Design, modeling and control of an omni-directional aerial vehicle , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

[4]  Raffaello D'Andrea,et al.  A controllable flying vehicle with a single moving part , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

[5]  Grasp Lab AVIAN-INSPIRED GRASPING FOR QUADROTOR MICRO UAVS , 2013 .

[6]  J. Anderson,et al.  Fundamentals of Aerodynamics , 1984 .

[7]  Frédéric Gibou,et al.  The island dynamics model on parallel quadtree grids , 2018, J. Comput. Phys..

[8]  Vijay Kumar,et al.  Trajectory Generation and Control for Precise Aggressive Maneuvers with Quadrotors , 2010, ISER.

[9]  Raffaello D'Andrea,et al.  Quadrocopter ball juggling , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[10]  Evan R. Ulrich,et al.  From falling to flying: the path to powered flight of a robotic samara nano air vehicle , 2010, Bioinspiration & biomimetics.

[11]  Massimo Franceschetti,et al.  The value of timing information in event-triggered control: The scalar case , 2016, 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[12]  Farrokh Janabi-Sharifi,et al.  A unified approach to configuration-based dynamic analysis of quadcopters for optimal stability , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[13]  Roland Siegwart,et al.  Backstepping and Sliding-mode Techniques Applied to an Indoor Micro Quadrotor , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[14]  Antonio Franchi,et al.  Modeling, control and design optimization for a fully-actuated hexarotor aerial vehicle with tilted propellers , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[15]  Farrokh Janabi-Sharifi,et al.  Revised Propeller Dynamics and Energy-Optimal Hovering in a Monospinner , 2017 .

[16]  Raffaello D'Andrea,et al.  Relaxed hover solutions for multicopters: Application to algorithmic redundancy and novel vehicles , 2016, Int. J. Robotics Res..

[17]  Massimo Franceschetti,et al.  Time-triggering versus event-triggering control over communication channels , 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

[18]  Gim Song Soh,et al.  Design and dynamic analysis of a Transformable Hovering Rotorcraft (THOR) , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

[19]  Kevin Y. Ma,et al.  Controlled Flight of a Biologically Inspired, Insect-Scale Robot , 2013, Science.