&lt;title&gt;Radiated noise control via structural vibration control&lt;/title&gt;

Varadan, Vasundara V.; Gopinathan, Senthil V.; Lim, Young‐Hun; Varadan, Vijay K.

doi:10.1117/12.316334

Cited by 5 publications

(6 citation statements)

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“…The structural vibrations of the plate responsible for the sound/noise radiation were actively controlled with piezoelectric sensors and actuators. This e!ective method of active noise control was demonstrated for the interior noise of a cabin enclosure by Varadan et al [12]. They used discrete piezoelectric actuators and sensors for the active vibration control of the walls of the enclosure.…”

Section: Introductionmentioning

confidence: 96%

On the Application of Shunted Piezoceramics for Increasing Acoustic Transmission Loss in Structures

Ahmadian

Jeric

2001

Journal of Sound and Vibration

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Section: Introductionmentioning

confidence: 96%

On the Application of Shunted Piezoceramics for Increasing Acoustic Transmission Loss in Structures

Ahmadian

Jeric

2001

Journal of Sound and Vibration

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“…If these two conditions are satisfied, a controller is practical and reliable in real control implementation. Many finite element approaches and analytic approaches concentrated on the control of the nominal model [1][2][3][4][5][6][7]. This study concentrates on the control of an original system using its reduced nominal model.…”

Section: Introductionmentioning

confidence: 99%

“…Many researchers developed active feedback controllers to control flexible continuous structure vibrations [1][2][3][4][5][6][7]. This structural control technique is extended to noise control problem via structural acoustics [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

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<title>Model reduction and frequency-weighted optimal vibration control of smart panels</title>

Chang

Varadan

2000

SPIE Proceedings

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The optimal control algorithm is one ofthefeasiblefeedback algorithmsfor vibration suppression offlexible structures. One of the commonly encountered problems of the optimal control implementation is the spillover problem. The spillover generally occurs when modeling a continuous structure that has infinite number ofresonance modes as a nominal model with finite modesfor controller design. This paper presents a design ofan optimal controller that is low order and can prevent the spillover problem when the unmodeled resonance modes perturb thefeedback control loop. For low order controller design, this paper proposes modal 1-lankel singular values (MHSV,) for efficient nominal model reduction. Low order controller can be derivedfrom the reduced nominal model. For design ofmore stable controller, this paper appliesfrequency dependant weightfunctions to the costfiinction. The weighifunctions prevent the spillover by making optimal controller not to excite the resonance modes that are not included in nominal model. The optimal controller is derivedfrom the nominal model. This weight function approach optimizes the control performance and control stability by smoothening the discrepancy between the weights on the modeled modes to be controlled and unmodeled modes to be stabilized. A finite element model is exploited to develop the controller and to test its controlperformance and stability against high resonance mode spillover.

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“…This paper demonstrates a detailed description of the integrated finite element capability using output feedback for a controller based on linear quadratic optimal control. For a numerical example, a hybrid approach using finite element formulation for the radiating walls of enclosure is also presented [12]. Interior noise control in a cabin enclosure using active vibration control of the walls of the enclosure with a discrete modeling technique is demonstrated.…”

Section: Introductionmentioning

confidence: 99%

Finite element simulation of smart structures using an optimal output feedback controller for vibration and noise control

Lim

Gopinathan

Varadan

et al. 1999

Smart Mater. Struct.

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This numerical study presents a detailed optimal control design based on the general finite element approach for the integrated design of a structure and its control system. Linear quadratic (LQ) theory with output feedback is considered on the basis of the state space model of the system. Three-dimensional finite elements are used to model the smart structure containing discrete piezoelectric sensors and actuators by the use of combination of solid, transition and shell elements. Since several discrete piezoelectric patches are spatially distributed in the structure to effectively observe and control the vibration of a structure, the system model is thus utilized to design a multi-input-multi-output (MIMO) controller. A modal analysis is performed to transform the coupled finite element equations of motion into the state space model of the system in the modal coordinates. The output feedback controller is then employed to emulate the optimal controller by solving the Riccati equations from the modal space model. An optimal controller design for the vibration suppression of a clamped plate is presented for both the steady state and the transient case. Numerical simulation is also used to predict the reduction in the sound pressure level inside an enclosure radiated from this optimally controlled plate.

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<title>Radiated noise control via structural vibration control</title>

Cited by 5 publications

References 0 publications

On the Application of Shunted Piezoceramics for Increasing Acoustic Transmission Loss in Structures

On the Application of Shunted Piezoceramics for Increasing Acoustic Transmission Loss in Structures

<title>Model reduction and frequency-weighted optimal vibration control of smart panels</title>

Finite element simulation of smart structures using an optimal output feedback controller for vibration and noise control

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