• DocumentCode
    2421513
  • Title

    A bio-inspired active tail control actuator for nano air vehicles

  • Author

    Penskiy, I. ; Samuel, P. ; Humbert, J.S. ; Bergbreiter, S.

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Maryland, College Park, MD, USA
  • fYear
    2012
  • fDate
    14-18 May 2012
  • Firstpage
    4635
  • Lastpage
    4640
  • Abstract
    The goal of this research is to develop a lightweight, high bandwidth control actuator that can be integrated on a flapping wing nano air vehicle (NAV). Traditional control actuators for air vehicles including DC servomotors and shape memory alloy are either too heavy or too slow to control a fast moving NAV. This paper develops a new bio-inspired active tail mechanism to stabilize an inverted pendulum with the same mass and inertia as the NAV. An analysis of the dynamic model shows a critical angle at which the control actuator can no longer stabilize the pendulum varies significantly with link lengths and mass ratios. Based on this dynamic model, an LQR controller is developed and implemented as a state space controller on a microcontroller based test setup. Using a gyroscope to measure the pendulum´s angular velocity and estimate the angle, the active tail mechanism was able to stabilize the pendulum for over five minutes before falling due to drift in the gyroscope sensor.
  • Keywords
    actuators; aerospace robotics; aircraft; angular velocity measurement; gyroscopes; mobile robots; nonlinear control systems; pendulums; sensors; servomotors; state-space methods; telerobotics; time-varying systems; DC servomotors; LQR controller; angle estimation; bio-inspired active tail control actuator; dynamic model; fast moving NAV control; gyroscope sensor; inverted pendulum stabilization; lightweight high bandwidth control actuator; link lengths; mass ratios; microcontroller-based test setup; nanoair vehicles; pendulum angular velocity; shape memory alloy; state space controller; Actuators; Coils; Gyroscopes; Magnetosphere; Mathematical model; Stability analysis; Transmission line matrix methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2012 IEEE International Conference on
  • Conference_Location
    Saint Paul, MN
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4673-1403-9
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ICRA.2012.6225370
  • Filename
    6225370