Application of a Fast-Stabilizing Frequency Domain Parameter Estimation Method

Author:

Van der Auweraer H.1,Guillaume P.2,Verboven P.2,Vanlanduit S.3

Affiliation:

1. LMS International, Interleuvenlaan 68, B-3001 Leuven, Belgium

2. Department of Mechanical Engineering, WERK, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussel, Belgium

3. Department of Electrical Engineering, ELEC, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussel, Belgium

Abstract

A new noniterative frequency domain parameter estimation technique is proposed. It is based on a weighted total least squares approach, starting from multiple input multiple output frequency response functions. One of the specific advantages of the technique lies in the very stable identification of the system poles as a function of the specified system order, leading to easy-to-interpret stabilization diagrams. This implies a potential for automating the method and to apply it to “difficult” estimation cases. Several real-life case studies are discussed, one related to holographic modal analysis in the medium frequency range, one to the modal testing of a fully trimmed vehicle.

Publisher

ASME International

Subject

Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering

Reference17 articles.

1. Pintelon, R., Guillaume, P., Rolain, Y., Schoukens, J., and Van Hamme, H., 1994, “Parametric identification of transfer functions in the frequency domain-a survey,” IEEE Trans. Autom. Control, 39, No. 11, pp. 2245–2260.

2. Leuridan, J., 1984, “Some Direct Parameter Model Identification Methods Applicable for Multiple Input Modal Analysis,” PhD thesis, Univ. of Cincinnati (US).

3. Maia, N., and Silva, J., 1997, Theoretical and Experimental Modal Analysis, Research Studies Press, Taunton, UK.

4. Kailath, T., 1980, Linear Systems, Prentice-Hall, New Jersey.

5. Van der Auweraer, H., and Leuridan, J., 1987, “Multiple Input Orthogonal Polynomial Parameter Estimation,” Mechanical Systems and Signal Processing, 1, No. 3, July pp. 259–272.

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