Parameterization of LMS-based control algorithms for local zones of quiet

The paper summarizes the research on parameterization of LMS-based adaptive controlalgirithms for active noise control (ANC) systems. these single- and multi-channel systems were built in enclosures to create three-dimensional zones of quiet (3D ZoQs) by controlling electro-acoustic plants characterized dynamics and strong nonstationarities. On the basis of results of simulation as well as real-world experiments it was shown how the electroacoustic plant modeling errors, adaptation parameter and controller filer order choice influence the ANC system performance, also in nonstationary conditions. These observations were used to formulate some parameterization rules and hints for systems controlling electro-acoustic plants. It was shown that properly parameterized ANC systems create large adaptive, spatially moving 3D ZoQs.