Active control of noise in a three-dimensional enclosure using indirect adaptive control

Sampath, Arun; Balachandran, Balakumar; Mehra, Raman K.; Prasanth, Ravi

doi:10.1109/cca.1997.627767

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…This is the case when the number of sensors L tends to infinity. The case where the number of sensors is less than the number of actuators, that is L < K, is treated by Sampath [27].…”

Section: Scheme IVmentioning

confidence: 99%

Studies on performance functions for interior noise control

Sampath¹,

Balachandran²

1997

Smart Mater. Struct.

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Analytical investigations into performance functions for interior noise control are presented. Three different performance functions for global control and one performance function for local control are developed and investigated. These performance functions are based on the squared pressure, the panel kinetic energy, and the air particle kinetic energy. As an illustration, noise control in the interior of a three-dimensional enclosure with a flexible boundary clamped along the edges is considered. Active control is realized by using lead zirconate titanate (PZT) patches as distributed actuators and interior microphones as error sensors. For tonal external disturbances, optimization analyses are carried out in the frequency domain to determine the optimal voltage inputs to the piezoelectric actuators and the optimal values of performance functions. Issues such as the number of actuators and their locations are investigated when the disturbance frequency is close to one of the following frequencies: a) resonance frequency of a symmetric or an asymmetric panel mode; b) off-resonance frequency, and c) resonance frequency of a cavity mode. The controlled responses obtained for the different performance functions are analysed by using pressure contours, zones of quiet, and modal amplitude and modal rearrangement control mechanisms. Based on the results of the numerical studies, it is determined that use of the energy-based performance function results in better pressure contours and zones of quiet inside the enclosure. The location of the actuators is found to have a significant influence on the magnitude of noise reduction. The results of the studies are relevant to interior noise control in enclosures such as rotorcraft cabins.

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“…This is the case when the number of sensors L tends to infinity. The case where the number of sensors is less than the number of actuators, that is L < K, is treated by Sampath [27].…”

Section: Scheme IVmentioning

confidence: 99%

Studies on performance functions for interior noise control

Sampath¹,

Balachandran²

1997

Smart Mater. Struct.

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“…A space state model is obtained in [28]. [29] proposes LQG control and the space state model is obtained through the modal response. A similar result is obtained in [30].…”

Section: Background Of Active Noise Controlmentioning

confidence: 99%

“…• N4SID: the requirement of some kinds of controllers and estimators implies the state equation, see [30,29,32]. This model can be obtained by N4SID method (see Appendix B).…”

Section: Ordermentioning

confidence: 99%

Active shielding base don implicit and decentralized control

Quintana¹

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Esta tesis expone un nuevo método para aplicar sistemas de control activo de ruido tradicionales para generar zonas de silencio sin colocar sensores dentro. Primero, se demuestra la factibilidad de usar controladores lineales. Posteriormente, un nuevo concepto es definido, llamado control implícito, que es el caso cuando atenuar la presión acústica en un conjunto de posiciones también implica la reducción de presión en otros lugares. Esta propiedad es usada para controlar la presión en una zona de silencio deseada usando sensores sólo en el entorno de dicha zona. Para este esquema de control el número de sensores y actuadores implican un gran costo computacional. Para reducir las limitaciones computacionales, se propone el control descentralizado y una analogía desde la teoría de juegos, analizando el equilibrio de Nash como el valor de las señales de control después de convergencia.

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Robust interior noise control using system identification and linear matrix inequality (LMI) based control

Sampeth

Prasanth²,

Mehra³

Proceedings of the 1998 IEEE International Conference on Control Applications (Cat. No.98CH36104)

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Active control of noise in a three-dimensional enclosure using indirect adaptive control

Cited by 3 publications

References 8 publications

Studies on performance functions for interior noise control

Studies on performance functions for interior noise control

Active shielding base don implicit and decentralized control

Robust interior noise control using system identification and linear matrix inequality (LMI) based control

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