Frequency domain structural system identification by observability range space extraction

Author

Liu, Ketao ; Jacques, Robert N. ; Miller, David W.

Author_Institution

Space Eng. Res. Center, MIT, Cambridge, MA, USA

Volume

1

fYear

1994

fDate

29 June-1 July 1994

Firstpage

107

Abstract

This paper presents the frequency domain observability range space extraction (FORSE) identification algorithm. FORSE is a singular value decomposition based identification algorithm which constructs a state space model directly from frequency domain data. It is numerically well behaved when applied to multivariable and high dimensional structural systems. It can achieve high modeling accuracy by properly overparametering the model. Its effectiveness for structural systems is demonstrated using the MIT Middeck Active Control Experiment (MACE). MACE is an active structural control experiment to be conducted in the Space Shuttle middeck.

Keywords

flexible structures; frequency-domain analysis; observability; singular value decomposition; FORSE; MACE; MIT Middeck Active Control Experiment; Space Shuttle middeck; active structural control experiment; flexible structure; frequency-domain observability range space extraction; frequency-domain structural system identification; multivariable high-dimensional structural systems; singular value decomposition; state-space model; Control system synthesis; Control systems; Data mining; Frequency domain analysis; Observability; Singular value decomposition; Space shuttles; Space technology; State-space methods; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 1994

Print_ISBN

0-7803-1783-1

Type

conf

DOI

10.1109/ACC.1994.751704

Filename

751704