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Proceedings Paper

ARMA models for real-time system identification of smart structures
Author(s): Robert S. Betros
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Paper Abstract

TRW is currently developing an adaptive structural damping system forspace structures based on real-time system identification algorithms. Simple recursiveleast squares (RLS) Auto Regressive Moving Average (ARMA) models are shown tobe suitable for structural identification. They have quick convergence rates and cantrack slowly time varying parameters. Real-time ARMA algorithms have beenimplemented on a Texas Instruments TMS320C30 Digital Signal Processor (DSP) chipand performance tested. Bandwidth limitations and code optimization are discussed.A hardware demonstration system utilizing these algorithms for real-time healthmonitoring is presented.

Paper Details

Date Published: 1 May 1992
PDF: 4 pages
Proc. SPIE 1777, First European Conference on Smart Structures and Materials, 17771S (1 May 1992); doi: 10.1117/12.2298087
Show Author Affiliations
Robert S. Betros, TRW Space & Technology Group (United States)


Published in SPIE Proceedings Vol. 1777:
First European Conference on Smart Structures and Materials
Brian Culshaw; Peter T. Gardiner; Alaster McDonach, Editor(s)

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