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Quelling Cabin Noise in Turboprop Aircraft via Active Control

Author

Listed:
  • Rex K. Kincaid

    (The College of William and Mary)

  • Keith E. Laba

    (The College of William and Mary)

  • Sharon L. Padula

    (NASA Langley Research Center)

Abstract

Cabin noise in turboprop aircraft causes passenger discomfort, airframe fatigue, and employee scheduling constraints due to OSHA standards for exposure to high levels of noise. The noise levels in the cabins of turboprop aircraft are typically 10 to 30 decibels louder than commercial jet noise levels. However, unlike jet noise the turboprop noise spectrum is dominated by a few low frequency tones. Active structural acoustic control is a method in which the control inputs (used to reduce interior noise) are applied directly to a vibrating structural acoustic system. The control concept modeled in this work is the application of in-plane force inputs to piezoceramic patches bonded to the wall of a vibrating cylinder. The goal is to determine the force inputs and locations for the piezoceramic actuators so that (1) the interior noise is effectively damped; (2) the level of vibration of the cylinder shell is not increased; and (3) the power requirements needed to drive the actuators are not excessive. Computational experiments for data taken from a computer generated model and from a laboratory test article at NASA Langley Research Center are provided.

Suggested Citation

  • Rex K. Kincaid & Keith E. Laba & Sharon L. Padula, 1997. "Quelling Cabin Noise in Turboprop Aircraft via Active Control," Journal of Combinatorial Optimization, Springer, vol. 1(3), pages 229-250, October.
    • Handle: RePEc:spr:jcomop:v:1:y:1997:i:3:d:10.1023_a:1009724325820
    DOI: 10.1023/A:1009724325820
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    References listed on IDEAS

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    1. Fred Glover, 1990. "Tabu Search: A Tutorial," Interfaces, INFORMS, vol. 20(4), pages 74-94, August.
    2. Fred Glover, 1989. "Tabu Search---Part I," INFORMS Journal on Computing, INFORMS, vol. 1(3), pages 190-206, August.
    3. Roberto Battiti & Giampietro Tecchiolli, 1994. "The Reactive Tabu Search," INFORMS Journal on Computing, INFORMS, vol. 6(2), pages 126-140, May.
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    Keywords

    Tabu search; optimal location selection;

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