Modelling, system identification, and control of acoustic–structure dynamics in 3-D enclosures

Fang, Bo; Kelkar, Atul G.; Joshi, Suresh M.; Pota, H. R.

doi:10.1016/j.conengprac.2003.10.003

Cited by 32 publications

(23 citation statements)

References 26 publications

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“…An ideal controller is one that can achieve uniform noise reductions in space as well as in frequency. Toward this goal there has been a steady progression [1], [2], [3]and several successful implementations. There have been numerous explorations into the use of actively controlled smart structures [4], [5], [6] (a few representative examples).…”

Section: Introductionmentioning

confidence: 97%

Enclosure Acoustics Modeling and Control Utilizing a Passive and Active Structural Tailoring

Whitmer

Kelkar

2006

Proceedings of the 45th IEEE Conference on Decision and Control

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The subject of this paper is the redesign a flat panel to couple less effectively to acoustic enclosures, and improve transmission loss between the enclosures. First presented is a brief background of the theory of acoustic noise in reverberant enclosures. Finite dimensional acoustic and structural models are linked producing a fully coupled linear control design model. These developments are then specifically applied to a 3-D acoustic chamber consisting of two separated 4ft x 4ft x 8ft enclosures. Passive redesign of the structure for minimal coupling and several mass mimicking active noise controllers were investigated. A decentralized MIMO controller was designed and simulated to mimic the effect of additional mass. These models and designs are currently being validated on an experimental test bed. Future efforts will examine additional control design strategies including modal clustering, passification by optimal blending of sensors and actuators, and the use of locally reacting sources on the plate surface to target acoustic structure coupling directly.

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Section: Introductionmentioning

confidence: 97%

Enclosure Acoustics Modeling and Control Utilizing a Passive and Active Structural Tailoring

Whitmer

Kelkar

2006

Proceedings of the 45th IEEE Conference on Decision and Control

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“…Many of these applications can be modeled by a 3-D cavity with a flexible boundary condition on one of its side. An approach to this modeling is to consider an enclosure with rigid boundary conditions [1,2] and extends to the case where one of its boundaries is considered as a flexible [3,4]. Excitation of flexible plate by sound source will cause vibrations on the plate and generate noise inside the cavity.…”

Section: Introductionmentioning

confidence: 99%

Modeling of sound-structure interaction in a rectangular enclosure using finite element method

Mohamady

Montazeri

Kamil

2009

2009 IEEE Symposium on Industrial Electronics &Amp; Applications

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In this paper the effect of periodic noise traveling into a rectangular enclosure is simulated using finite element technique using COMSOL Multiphysics software. The acoustic wave which is generated by a point source outside an enclosure propagates through the enclosure wall and excites the flexible panel which is mounted on the enclosure. The behavior of transmission of sound into the cavity is investigated by computing the modal characteristics of the cavity. Base on the model proposed, simulation part is conducted to examine the natural frequency response of system as well as to compute the distortion effect of the structure response and the acoustic pressure observed within the enclosure. The simulation results were compared with previous experimental and analytical works for validation and a good match between them were obtained.

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“…Modeling of the flexible plate by solving the governing PDE equations is useful for preliminary analysis and design of controller without any practical implementation. In such cases, the use of system identification techniques can play an important role in obtaining the desired model [12].…”

Section: Introductionmentioning

confidence: 99%

“…Considering this point will result in Minimax LQG controller which minimizes the worst-case LQG performance index. Minimax LQG controller has been used to vibration control of beam and enclosure in [9, 10] and [11,12] respectively. This controller considers uncertainties resulted from both disturbance and unmodeled dynamics and unlike H and H 2 00 controllers, has analytical solution by minimizing a convex performance index [13].…”

Section: Introductionmentioning

confidence: 99%

Minimax-LQG control of a flexible plate using frequency domain subspace identified models

Ahmadizadeh

Montazeri

Poshtan

et al. 2011

2011 IEEE International Conference on Mechatronics

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In this paper identification and optimal robust Minimax-LQG control design are studied for active vibration control of a flexible plate. Two frequency domain subspace methods including maximum likelihood technique are used to identify the model of the plate. Since the identified models are unstable, an iterative algorithm is applied to stabilize them. The obtained models have a good fitness up to the frequency 220 Hz and this frequency range contains three modes of the flexible plate. These first three modes are selected for control and the rest are chosen as uncertainty. The Chebychev and Yule-Walker filters are designed to model the weighting function of uncertainties for design of Minimax-LQG controller. These weights have a great effect on robust stability and performance of the control system. Simulation results are presented to show the effectiveness of designed controllers for all stabilized identified models and uncertainty weights. The results confirm that the obtained indices for identified models are good measures to predict the performance of the designed controllers based on them

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Modelling, system identification, and control of acoustic–structure dynamics in 3-D enclosures

Cited by 32 publications

References 26 publications

Enclosure Acoustics Modeling and Control Utilizing a Passive and Active Structural Tailoring

Enclosure Acoustics Modeling and Control Utilizing a Passive and Active Structural Tailoring

Modeling of sound-structure interaction in a rectangular enclosure using finite element method

Minimax-LQG control of a flexible plate using frequency domain subspace identified models

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