Title :
Active noise cancellation in ducts using internal model-based control algorithms
Author_Institution :
Dept. of Control Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fDate :
3/1/1996 12:00:00 AM
Abstract :
A feedback control algorithm based on the internal model principle is proposed to solve the active noise control (ANC) problem in ducts. Because of its infinite open-loop gain at selected frequencies, the controller is able, at the cancellation speaker position, to block noise transmission of these frequencies. In other words, the speaker acts like a totally reflective boundary. Stability analysis of the closed-loop system is performed using the Nyquist criterion. Experimental results confirm the theoretical analysis, showing an average noise level reduction of 30 to 40 dB at the target frequencies
Keywords :
Nyquist criterion; active noise control; feedback; model reference adaptive control systems; Nyquist criterion; active noise cancellation; active noise control; closed-loop system; ducts; feedback control algorithm; infinite open-loop gain; internal model-based control algorithms; stability analysis; totally reflective boundary; Acoustic noise; Adaptive filters; Ducts; Feedback; Finite impulse response filter; Frequency; IIR filters; Noise cancellation; Open loop systems; Signal processing algorithms;
Journal_Title :
Control Systems Technology, IEEE Transactions on