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Proceedings Paper

Comparison of a new rapid convergent adaptive control algorithm to least mean square on an active noise control system
Author(s): Shozo Koshigoe; Alan Gordon; Allen Teagle; Ching-Hsu Tsay
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Paper Abstract

In this paper, an efficient rapid convergent control algorithm will be developed and will be compared with other adaptive control algorithms using an experimental active noise control system. Other control algorithms are Widrow's finite impulse response adaptive control algorithm, and a modified Godard's algorithm. Comparisons of the random noise attenuation capability, transient and convergence performance, and computational requirements of each algorithm will be made as the order of the controller and relevant convergence parameters are varied. The system used for these experiments is a test bed of noise suppression technology for expendable launch vehicles. It consists of a flexible plate backed by a rigid cavity. Piezoelectric actuators are mounted on the plate and polyvinylidene fluoride is used both for microphones and pressure sensors within the cavity. The plate is bombarded with an amplified random noise signal, and the control system is used to suppress the noise inside the cavity generated by the outside sound source.

Paper Details

Date Published: 20 April 1995
PDF: 11 pages
Proc. SPIE 2444, Smart Structures and Materials 1995: Smart Sensing, Processing, and Instrumentation, (20 April 1995); doi: 10.1117/12.207690
Show Author Affiliations
Shozo Koshigoe, The Aerospace Corp. (United States)
Alan Gordon, California State Univ./Long Beach (United States)
Allen Teagle, California State Univ./Long Beach (United States)
Ching-Hsu Tsay, California State Univ./Long Beach (United States)

Published in SPIE Proceedings Vol. 2444:
Smart Structures and Materials 1995: Smart Sensing, Processing, and Instrumentation
William B. Spillman Jr., Editor(s)

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