• DocumentCode
    3528969
  • Title

    Sensing from control: Airframe deformation for simultaneous actuation and state estimation

  • Author

    Hinson, Brian T. ; Rombokas, Eric ; Dyhr, Jonathan P. ; Daniel, Thomas L. ; Morgansen, Kristi A.

  • Author_Institution
    Dept. of Aeronaut. & Astronaut., Univ. of Washington, Seattle, WA, USA
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    2683
  • Lastpage
    2690
  • Abstract
    This work is inspired by the hawkmoth Manduca sexta, which has been shown to actively use its abdomen for deforming-airframe-based flight control through inertial actuation. The active role of the abdomen induces Coriolis forces in flight, which may allow the moth to detect the body yaw rate. We explore the simultaneous sensing and control mechanisms of the abdomen through the use of an engineered flexible abdomen. The flexible abdomen dynamics are derived using a Lagrangian approach. Nonlinear observability analysis shows that abdomen pitch actuation is required for yaw rate observability, thus supporting the hypothesis that the abdomen serves a simultaneous sensing and actuation role. We successfully demonstrate that a range of yaw rate estimates can be extracted from Coriolis-induced strain measurements on the flexible abdomen using only a pair of strain sensors. Two different estimation schemes are utilized in this demonstration: a model-based unscented Kalman filter and a data-driven approach.
  • Keywords
    Kalman filters; aerospace control; deformation; nonlinear control systems; nonlinear filters; observability; state estimation; strain measurement; strain sensors; Coriolis forces; Coriolis-induced strain measurements; Lagrangian approach; abdomen pitch actuation; airframe deformation; body yaw rate detection; data-driven approach; deforming-airframe-based flight control; engineered flexible abdomen; flexible abdomen dynamics; hawkmoth Manduca sexta; inertial actuation; model-based unscented Kalman filter; nonlinear observability analysis; simultaneous actuation; simultaneous sensing; state estimation; strain sensors; yaw rate estimation; yaw rate observability; Animals; Dynamics; Estimation; Observability; Sensors; Strain; Strain measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760288
  • Filename
    6760288