Abstract
An active noise control (ANC) system is model dependent/independent if its controller transfer function is dependent/independent on initial estimates of path models in a sound field. Since parameters of path models in a sound field will change when boundary conditions of the sound field change, model-independent ANC systems (MIANC) are able to tolerate variations of boundary conditions in sound fields and more reliable than model-dependent counterparts. A possible way to implement MIANC systems is online path modeling. Many such systems require invasive probing signals (persistent excitations) to obtain accurate estimates of path models. In this study, a noninvasive MIANC system is proposed. It uses online path estimates to cancel feedback, recover reference signal, and optimize a stable controller in the minimum H2 norm sense, without any forms of persistent excitations. Theoretical analysis and experimental results are presented to demonstrate the stable control performance of the proposed system.
Highlights
Most active noise control (ANC) systems are model dependent
Model-independent ANC (MIANC) systems depend on online path modeling or invariant properties of sound fields to update or design controllers [6,7,8]
Feedback cancellation is an important issue in ANC systems that recover reference signals from sound fields
Summary
Most active noise control (ANC) systems are model dependent. Let P(z) and S(z) denote estimates of primary and secondary path transfer functions P(z) and S(z). In cases of severe mismatch between path transfer functions and their initial estimates, a model-dependent ANC system may generate constructive instead of destructive interference, or even become unstable. Model-independent ANC (MIANC) systems depend on online path modeling or invariant properties of sound fields to update or design controllers [6,7,8]. These systems avoid initial path modeling and are adaptive to variations of environmental or boundary conditions of sound fields. Noninvasive MIANC systems are able to ensure closed-loop stability without persistent excitations, which are possible by a recently developed algorithm, known as orthogonal adaptation [11, 12], if the primary noise signal is directly available as the reference signal. Experimental result is presented to demonstrate the performance of the CNMIANC system
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
