Comparison of a new rapid convergent adaptive control algorithm to least mean square on an active noise control system

Shozo Koshigoe; Alan Gordon; Allen Teagle; Ching-Hsu Tsay

doi:10.1117/12.207690

20 April 1995 Comparison of a new rapid convergent adaptive control algorithm to least mean square on an active noise control system

Shozo Koshigoe, Alan Gordon, Allen Teagle, Ching-Hsu Tsay

Author Affiliations +

Proceedings Volume 2444, Smart Structures and Materials 1995: Smart Sensing, Processing, and Instrumentation; (1995) https://doi.org/10.1117/12.207690
Event: Smart Structures and Materials '95, 1995, San Diego, CA, United States

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.

Citation Download Citation

Shozo Koshigoe, Alan Gordon, Allen Teagle, and Ching-Hsu Tsay "Comparison of a new rapid convergent adaptive control algorithm to least mean square on an active noise control system", Proc. SPIE 2444, Smart Structures and Materials 1995: Smart Sensing, Processing, and Instrumentation, (20 April 1995); https://doi.org/10.1117/12.207690

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