Title :
Design of a MIMO Neuro-Controller for ANC System with Loudspeaker Nonlinearity in Enclosure
Author :
Montazeri, Allahyar ; Poshtan, Javad
Author_Institution :
Electr. Eng. Dept., Iran Univ. of Sci. & Technol., Narmak, Iran
Abstract :
In this paper optimization of a nonlinear adaptive multi-channel active noise control system in a rectangular enclosure using neural networks is investigated. The model of enclosure is obtained using modal analysis, and the bandwidth of the control system for global reduction of noise is selected between 50-300 Hz. Secondary path in modeled offline using MLP and Levenberg-Marquardt algorithm with sum of sinusoid excitation signal. The simulation results for multi-channel case assuming nonlinear loudspeaker in the secondary path, show the performance of feedforward multilayer perceptron neural networks with FxBP algorithm is acceptable in attenuation of noise and its harmonics in the error microphones.
Keywords :
MIMO systems; active noise control; adaptive control; loudspeakers; modal analysis; multilayer perceptrons; neurocontrollers; nonlinear control systems; ANC system; FxBP algorithm; Levenberg-Marquardt algorithm; MIMO neurocontroller; MLP; feedforward multilayer perceptron neural networks; frequency 50 Hz to 300 Hz; loudspeaker nonlinearity; microphones; modal analysis; multichannel active noise control system optimization; noise attenuation; rectangular enclosure; sinusoid excitation signal; Active noise reduction; Adaptive control; Bandwidth; Control systems; Loudspeakers; MIMO; Modal analysis; Neural networks; Nonlinear control systems; Programmable control; Acoustic applications; Feedforward neural network; neural network applications;
Conference_Titel :
Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-1-4244-1235-8
Electronic_ISBN :
978-1-4244-1236-5
DOI :
10.1109/ICSPC.2007.4728594
