Biosensing and Bioactuation Workshop By Dr. James E. Hubbard, Jr. Samuel P. Langley Professor
-
Upload
chassidy-evans -
Category
Documents
-
view
19 -
download
0
description
Transcript of Biosensing and Bioactuation Workshop By Dr. James E. Hubbard, Jr. Samuel P. Langley Professor
Center for Adaptive Aerospace Technology
Biosensing and Bioactuation Workshop By
Dr. James E. Hubbard, Jr.
Samuel P. Langley Professor
(University of Maryland)
November 27-28, 2007
Center for Adaptive Aerospace Technology
Center for Adaptive Aerospace Technology
Biomimetic flight
“the application of methods and systems found in nature to the study and design of engineering systems and modern technology.”
Center for Adaptive Aerospace Technology
Biologically Inspired:
Planform Shape
Surface Pressure SensingStrike Configuration
Wing Morphing
orpheus
Center for Adaptive Aerospace Technology
Design Challenges
Center for Adaptive Aerospace Technology
Traditional approaches to shape control use discrete transducers and lumped parameter modeling techniques e.g. finite element
For real-time shape control these techniques can only address performance measures in a limited fashion, if at all
Distributed Parameter Control – the control of systems described by space and (usually) time, can more effectively address spatial performance requirements
Center for Adaptive Aerospace Technology
In addition to traditional temporal bandwidth requirements:
Shape control requires both a prescribed spatial bandwidth and a set of shapes that characterize the control task, e.g. airfoil, wing and engine inlet shapes for efficient flow control
Distributed Parameter System Control techniques and Spatially Distributed Transducers are well suited to the design and implementation of dynamic shape control in modern systems
Center for Adaptive Aerospace Technology
Wavenumber Frequency
0
400
150
-100
0
,kdb
Wavenumber/freq Response Fcn;
Distributed Parameter System
,,
),(, kh
ku
kyk
Center for Adaptive Aerospace Technology
Prototype Sensors
Quantum Tunneling Composite
Carbon Nanotube
Piezo-resistive
Example Co-incident Liftand Drag Sensor
Center for Adaptive Aerospace Technology
Conformal Sensor Demo
Center for Adaptive Aerospace Technology
Data Telemetry
Center for Adaptive Aerospace Technology
What: Design, build, and demonstrate a seamless, aerodynamically efficient, aerial vehicle capable of:
radical shape change
Why: The ability to change the critical physical characteristics (aerodynamic shape) of the
Vehicle in flight would enable/allow a single vehicle to: perform multiple mission profiles
How: Distributed Parameter System control techniques and spatially distributed transducers:
are well suited to the design and implementation of dynamic shape control in modern systems
Center for Adaptive Aerospace Technology
Given the success and availability of temporal frequency domain tools in classical and robust, multi-variable lumped parameter systems control theory:
The introduction of spatial frequency transforms to distributed parameter systems and control follow naturally!
Using MIMO techniques one can construct an input/output relation representing a DPS in a temporal and spatial frequency domain