System Identification for Vibration Control

A. M. Karshenas; Matthew Walter Dunnigan; Barry Wayne Williams

doi:10.1016/S1474-6670(17)43419-7

System Identification for Vibration Control

A. M. Karshenas, Matthew Walter Dunnigan, Barry Wayne Williams

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper investigates FIR and IIR modelling techniques for use in the identification of an electrodynamic shaker. Since the dynamics of the shaker with a payload is not assumed a priori knowledge, the IIR modelling method may converge to an unstable model. The FIR modelling method guarantees the stability of the converged model. Experiments on different possible approaches for the FIR modelling method show that the Frequency Domain Adaptive Filter is the most reliable method.

Original language	English
Pages (from-to)	535-540
Number of pages	6
Journal	IFAC Proceedings Volumes
Volume	30
Issue number	6
DOIs	https://doi.org/10.1016/S1474-6670(17)43419-7
Publication status	Published - May 1997
Event	IFAC Conference on Control of Industrial Systems: Control for the Future of the Youth - Belfort, France Duration: 20 May 1997 → 22 May 1997

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10.1016/S1474-6670(17)43419-7

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title = "System Identification for Vibration Control",

abstract = "This paper investigates FIR and IIR modelling techniques for use in the identification of an electrodynamic shaker. Since the dynamics of the shaker with a payload is not assumed a priori knowledge, the IIR modelling method may converge to an unstable model. The FIR modelling method guarantees the stability of the converged model. Experiments on different possible approaches for the FIR modelling method show that the Frequency Domain Adaptive Filter is the most reliable method.",

author = "Karshenas, {A. M.} and Dunnigan, {Matthew Walter} and Williams, {Barry Wayne}",

year = "1997",

month = may,

doi = "10.1016/S1474-6670(17)43419-7",

language = "English",

volume = "30",

pages = "535--540",

journal = "IFAC Proceedings Volumes",

issn = "1474-6670",

number = "6",

note = "IFAC Conference on Control of Industrial Systems : Control for the Future of the Youth ; Conference date: 20-05-1997 Through 22-05-1997",

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TY - JOUR

T1 - System Identification for Vibration Control

AU - Karshenas, A. M.

AU - Dunnigan, Matthew Walter

AU - Williams, Barry Wayne

PY - 1997/5

Y1 - 1997/5

N2 - This paper investigates FIR and IIR modelling techniques for use in the identification of an electrodynamic shaker. Since the dynamics of the shaker with a payload is not assumed a priori knowledge, the IIR modelling method may converge to an unstable model. The FIR modelling method guarantees the stability of the converged model. Experiments on different possible approaches for the FIR modelling method show that the Frequency Domain Adaptive Filter is the most reliable method.

AB - This paper investigates FIR and IIR modelling techniques for use in the identification of an electrodynamic shaker. Since the dynamics of the shaker with a payload is not assumed a priori knowledge, the IIR modelling method may converge to an unstable model. The FIR modelling method guarantees the stability of the converged model. Experiments on different possible approaches for the FIR modelling method show that the Frequency Domain Adaptive Filter is the most reliable method.

U2 - 10.1016/S1474-6670(17)43419-7

DO - 10.1016/S1474-6670(17)43419-7

M3 - Conference article

SN - 1474-6670

VL - 30

SP - 535

EP - 540

JO - IFAC Proceedings Volumes

JF - IFAC Proceedings Volumes

IS - 6

T2 - IFAC Conference on Control of Industrial Systems

Y2 - 20 May 1997 through 22 May 1997

ER -

System Identification for Vibration Control

Abstract

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