A Rapidly Convergent Adaptive Controller Applied to Suppression of Random Noise Transmission

Abstract

In this paper, an efficient rapid convergent control algorithm will be developed and will be compared with other adaptive control algorithms using a plate-cavity system. The plate-cavity system used for these numerical 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 (PZT) actuators are considered to be bonded on both sides of the plate symmetrically. 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. Other control algorithms included for the comparisons are LMS Widrow’s finite impulse response (FIR) adaptive control algorithm [ 1] , and a modified Godard’s algorithm [ 2] . Comparisons of the random noise attenuation capability, transient and convergence performance, and computational requirements of each algorithm will he made as the order of the controller and relevant convergence parameters are varied.