engleski

An Adaptive Method for Avoiding Overloading of Secondary Sources in Active Noise Control

In active noise control (ANC) systems, the direct application of the least-mean-squares (LMS) based algorithms sometimes leads to the problem of nonlinear distortion caused by overloading the secondary sources (including overloading of amplifiers and overloading of actuators). This problem was solved in the past by modifying the cost function to include constraints on control effort with application of “leaky” LMS algorithm. In this paper an alternative and more efficient adaptive compressing of output signal (ACOS) method was proposed, where output signal from signal processor is attenuated by an adaptive adjusted factor, and LMS weights updating is carried by a modified error signal.

active noise control; nonlinear distortion; secondary sources overloading; LMS based algorithms

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