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
Link To Document :
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