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Proceedings Paper

Smart structure applications using neurocontrollers
Author(s): Daniel J. Bozich; H. Bruce MacKay
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Paper Abstract

This paper describes a neural network-based digital control system for a wide range of dynamic applications. Two diverse applications of the digital control of smart structural systems are discussed to illustrate the general nature of this neurocontroller. The first application is reduction of vibration in optical mirrors for large high energy laser installations. Under neurocontrol, multiple actuators and sensors reduce the `jitter' caused by cooling water flow and other vibration sources affecting the mirrors within the laser system. Accelerometers provide control parameters. The control and reduction of high intensity acoustic noise is a similar application of neurocontrollers. In this case, multiple acoustic sources are controlled to reduce the measured noise at multiple microphone locations. Both examples used the same neurocontroller with a filtered-x architecture. Minor adjustments to accommodate either the `macro'-scale dynamics of high-intensity acoustics, or the `micro'-scale dynamics of optical mirror vibrations were made as needed. The paper includes results from actual tests.

Paper Details

Date Published: 8 September 1993
PDF: 10 pages
Proc. SPIE 1917, Smart Structures and Materials 1993: Smart Structures and Intelligent Systems, (8 September 1993); doi: 10.1117/12.152789
Show Author Affiliations
Daniel J. Bozich, Science Applications International Corp. (United States)
H. Bruce MacKay, Science Applications International Corp. (United States)


Published in SPIE Proceedings Vol. 1917:
Smart Structures and Materials 1993: Smart Structures and Intelligent Systems
Nesbitt W. Hagood; Gareth J. Knowles, Editor(s)

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