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Center for Adaptive Aerospace Technology Biosensing and Bioactuation Workshop By Dr. James E. Hubbard, Jr. Samuel P. Langley Professor (University of Maryland)

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Presentation on theme: "Center for Adaptive Aerospace Technology Biosensing and Bioactuation Workshop By Dr. James E. Hubbard, Jr. Samuel P. Langley Professor (University of Maryland)"— Presentation transcript:

1 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

2 Center for Adaptive Aerospace Technology

3 Biomimetic flight “the application of methodsmethods and systems found in naturenature to the study and design of engineeringengineering systems and modern technology.”technology

4 Center for Adaptive Aerospace Technology Biologically Inspired: Planform Shape Surface Pressure Sensing Strike Configuration Wing Morphing orpheus

5 Center for Adaptive Aerospace Technology Design Challenges

6 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

7 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

8 Center for Adaptive Aerospace Technology Wavenumber Frequency 0 40 0 150 -100 0 db Wavenumber/freq Response Fcn; Distributed Parameter System

9 Center for Adaptive Aerospace Technology Prototype Sensors Quantum Tunneling Composite Carbon Nanotube Piezo-resistive Example Co-incident Lift and Drag Sensor

10 Center for Adaptive Aerospace Technology Conformal Sensor Demo

11 Center for Adaptive Aerospace Technology Data Telemetry

12 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

13 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


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