Optimizing actuator locations in active noise control systems using subset selection

Optimizing actuator locations in active noise control systems using subset selection

This numerical simulation uses multiple linear regression with subset selection to optimize the locations of control actuators in a feedforward active noise control system. By formulating the feedforward control problem as a regression, subset selection can find the actuator locations that provide t...

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Veröffentlicht in:Journal of sound and vibration 1995-09, Vol.186 (3), p.395-406
Hauptverfasser: Ruckman, Christopher E., Fuller, Chris R.
Format: Artikel
Sprache:eng
Schlagworte:
Acoustics
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
Noise: its effects and control
Physics
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container_title Journal of sound and vibration
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creator Ruckman, Christopher E.
Fuller, Chris R.
description This numerical simulation uses multiple linear regression with subset selection to optimize the locations of control actuators in a feedforward active noise control system. By formulating the feedforward control problem as a regression, subset selection can find the actuator locations that provide the best system performance. Subset selection provides benefits over continuous optimization approaches because of its computational efficiency; subset selection can examine systems for which the system response is expensive to compute, such as fluid–structure interaction problems, and can efficiently optimize large numbers of actuators. This paper describes a method for exhaustive-search subset selection, and provides numerical results for a simple active structural-acoustic control problem.
doi_str_mv 10.1006/jsvi.1995.0458
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subjects Acoustics
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
Noise: its effects and control
Physics
title Optimizing actuator locations in active noise control systems using subset selection
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