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Proceedings Paper

Smart Structures Incorporating Artificial Neural Networks, Fiber-Optic Sensors, And Solid-State Actuators
Author(s): Michael H. Thursby; Barry G. Grossman; Tino Alavie; K.-S. Yoo
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Paper Abstract

Neural networks have been shown to be useful in sensor pre-processing and dynamic system modeling and control, as well as various other signal analysis areas. Their application to the problem of developing a real-time smart structure is further indicated by the extremely fast post-learning speed of the neural network. Fiber-optic sensors also possess very high response rates, and sensitivities and are well suited to the detection of structural changes. The integration of these two technologies is a natural step toward a high-speed smart structure. A smart structure that is applicable to airfoil control surfaces as well as artificial human joints is being modeled and built at Florida Institute of Technology. The actuators (muscles) in our model are replaced with shape-memory metal strands. The joint-position sensors of the neuro-muscular system are modeled by fiber-optic sensors. The control (neural) circuits are replaced by an artificial neural network. We are investigating the suitability of each of these subsystems to the problem. The appropriate neural-network architecture, as well as the sensors and actuators, is under investigation, and a prototype system is being fabricated and tested. Results of the modeling, design, and performance will be discussed.

Paper Details

Date Published: 5 February 1990
PDF: 22 pages
Proc. SPIE 1170, Fiber Optic Smart Structures and Skins II, (5 February 1990); doi: 10.1117/12.963108
Show Author Affiliations
Michael H. Thursby, Florida Institute of Technology (United States)
Barry G. Grossman, Florida Institute of Technology (United States)
Tino Alavie, Florida Institute of Technology (United States)
K.-S. Yoo, Florida Institute of Technology (United States)

Published in SPIE Proceedings Vol. 1170:
Fiber Optic Smart Structures and Skins II
Eric Udd, Editor(s)

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