Recursive Predictor-Based Subspace Identification With Application to the Real-Time Closed-Loop Tracking of Flutter

A novel recursive predictor-based subspace identification method is presented to identify linear time-invariant systems with multi inputs and multi outputs. The method is implemented in real-time and is able to operate in open loop or closed loop. The recursive identification is performed via the su...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on control systems technology Vol. 20; no. 4; pp. 934 - 949
Main Authors: Houtzager, I., van Wingerden, Jan-Willem, Verhaegen, M.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.07.2012
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Adaptive filters
Adaptive tracking
Algorithms
Applied sciences
closed loop
Computer science; control theory; systems
Control theory. Systems
Dynamical systems
Dynamics
Estimation
Exact sciences and technology
flutter detection
Fundamental areas of phenomenology (including applications)
Least squares approximation
Markov processes
Mathematical models
Modelling and identification
Noise
Physics
Prediction algorithms
Real time
Real time systems
Recursive
recursive identification
Solid mechanics
Structural and continuum mechanics
Studies
subspace identification
Subspaces
Vibration
Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...)
MIMO system
flutter detection
Aeroelastic flutter
Subspace method
subspace identification
recursive identification
Adaptive filter
Real time
Recursive algorithm
Computational complexity
Modeling
Adaptive tracking
Closed systems
Time varying system
Linear time invariant system
Least squares method
closed loop
Open loop
Recursive method
System identification
Aerofoil
Aeroelasticity
Data structure
Recursive estimation
ISSN:1063-6536, 1558-0865
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A novel recursive predictor-based subspace identification method is presented to identify linear time-invariant systems with multi inputs and multi outputs. The method is implemented in real-time and is able to operate in open loop or closed loop. The recursive identification is performed via the subsequent solution of only three linear problems, which are solved using recursive least squares. The recursive implementation of the method is not only able to identify linear time-invariant models from measured data, but can also be used to track slowly time-varying dynamics if adaptive filters are used. The computational complexity is reduced by exploiting the structure in the data equations and by using array algorithms to solve the main linear problem. This results in a fast recursive predictor-based subspace identification method suited for real-time implementation. The real-time implementation and the ability to work with multi-input and multi-output systems operating in closed loop makes this approach suitable for online estimation of unstable dynamics. The ability to do so is demonstrated by the detection of flutter on an experimental 2-D-airfoil system.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
content type line 23
ISSN:1063-6536
1558-0865
DOI:10.1109/TCST.2011.2157694