ARMA models for real-time system identification of smart structures

Robert S. Betros

doi:10.1117/12.2298087

1 May 1992 ARMA models for real-time system identification of smart structures

Robert S. Betros

Proceedings Volume 1777, First European Conference on Smart Structures and Materials; 17771S (1992) https://doi.org/10.1117/12.2298087
Event: First European Conference on Smart Structures and Materials, 1992, Glasgow, United Kingdom

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.

Citation Download Citation

Robert S. Betros "ARMA models for real-time system identification of smart structures", Proc. SPIE 1777, First European Conference on Smart Structures and Materials, 17771S (1 May 1992); https://doi.org/10.1117/12.2298087

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available