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Proceedings Paper

Distributed hierarchical architecture for structural control
Author(s): Umit Ozguner
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Paper Abstract

A distributed, hierarchical architecture is presented which is particularly suitable for the control of large flexible structures. We assume that large, flexible structures are a collection of smaller substructures for which nominal, probably linear models exist. We advocate the generation of hardware analogs for these substructures based on the nominal models, as building blocks for both the larger structure and for the feedback controllers. Relying on the availability of the substructure model realizations, we advocate the use of local (decentralized) model-based substructure controllers. In addition to the nominal model based nominal controllers outlined above, we propose Neural Network based Identifiers and Controllers to generate a correction signal for state estimation and control. Thus the use of the Neural Network has been relegated to that of being a predictor and corrector to a nominal estimator and controller for the substructure. At a higher level in this architecture is a third Neural Network which has the task of handling larger excursions from the expected response of the system so as to switch to handle faults and other emergencies.

Paper Details

Date Published: 8 September 1993
PDF: 11 pages
Proc. SPIE 1917, Smart Structures and Materials 1993: Smart Structures and Intelligent Systems, (8 September 1993); doi: 10.1117/12.152760
Show Author Affiliations
Umit Ozguner, The Ohio State Univ. (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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