Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Identification of a stable model for a flexible plate using frequency domain subspace methods
AU - Ahmadizadeh, Saeed
AU - Montazeri, Allahyar
AU - Poshtan, Javad
PY - 2011
Y1 - 2011
N2 - Having a suitable model is one of the most important steps in active noise and vibration control systems. There are many applications in which the derived numerical model does not show the system behavior appropriately. In such cases, obtaining a model using system identification methods can play a special role. To this aim, in this paper the problem of identification of a flexible plate which is attached to upper side of an enclosure is addressed. The frequency response of the plate is measured between the two specific points and the data are applied to the several subspace-based frequency domain identification algorithms with and without Instrumental Variable method. Since the real system, by nature, is stable and the models identified in all cases are unstable, in the next step stabilization algorithm with different initial values is used to extract the stable part of the system. Finally, the qualities of the stabilized identified models are evaluated by calculating the RMS error between the measured and identified models.
AB - Having a suitable model is one of the most important steps in active noise and vibration control systems. There are many applications in which the derived numerical model does not show the system behavior appropriately. In such cases, obtaining a model using system identification methods can play a special role. To this aim, in this paper the problem of identification of a flexible plate which is attached to upper side of an enclosure is addressed. The frequency response of the plate is measured between the two specific points and the data are applied to the several subspace-based frequency domain identification algorithms with and without Instrumental Variable method. Since the real system, by nature, is stable and the models identified in all cases are unstable, in the next step stabilization algorithm with different initial values is used to extract the stable part of the system. Finally, the qualities of the stabilized identified models are evaluated by calculating the RMS error between the measured and identified models.
U2 - 10.3182/20110828-6-IT-1002.03238
DO - 10.3182/20110828-6-IT-1002.03238
M3 - Conference contribution/Paper
SP - 6517
EP - 6522
BT - 18th IFAC World Congress
PB - IFAC
T2 - 18th IFAC World Congress
Y2 - 28 August 2011 through 2 September 2011
ER -