Experimental study of a rapidly convergent adaptive controller applied to suppression of random noise transmission

摘要

In this letter, an efficient, rapid-convergent, control algorithm will be developed and compared with finite impulse response (FIR), filtered-x, LMS [Widrow et al., Proc. IEEE 63, 1692–1711 (1975)], and a modified version of Godard's algorithm [D. Godard, IBM J. Res. Develop., pp. 267–273 (1974)]. The experiments will be performed on an active noise control (ANC) system. 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 ANC 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 (PVDF) microphones are used to sense the reference and error signals. The plate is bombarded with an amplified random noise signal, and the control system is used to suppress the cavity noise generated by the sound source.