TY - GEN
T1 - Applying adaptation for active noise control
T2 - 16th International Congress on Sound and Vibration 2009, ICSV 2009
AU - Michalczyk, Małgorzata I.
PY - 2009
Y1 - 2009
N2 - Undoubtedly, applying adaptation for active noise control (ANC) brings benefits: the controller is initially adapted and then adjusted to electro-acoustic plant changes. Further, real world experiments show that, due to the application of adaptive control algorithms, the zone of quiet can track the movement of a microphone around which it is created. However, there is a pitfall that should be avoided - chaotic behavior of adaptive ANC systems that appears in case of electro-acoustic plant modeling errors. In the paper the research on an adaptive ANC system creating a local three-dimensional zone of quiet around the moving error microphone is summarized. The complicated dynamical properties of electro-acoustic plant are shown to be the main problem, both in creation of a moving zone of quiet, and in parameterization of adaptive control algorithms applied for ANC with no plant variations. Then, a case study of chaotic behavior of adaptive feedforward ANC system is described. Using a simplified model it is shown, how inevitable electro-acoustic plant modeling errors may significantly deteriorate adaptive ANC system performance.
AB - Undoubtedly, applying adaptation for active noise control (ANC) brings benefits: the controller is initially adapted and then adjusted to electro-acoustic plant changes. Further, real world experiments show that, due to the application of adaptive control algorithms, the zone of quiet can track the movement of a microphone around which it is created. However, there is a pitfall that should be avoided - chaotic behavior of adaptive ANC systems that appears in case of electro-acoustic plant modeling errors. In the paper the research on an adaptive ANC system creating a local three-dimensional zone of quiet around the moving error microphone is summarized. The complicated dynamical properties of electro-acoustic plant are shown to be the main problem, both in creation of a moving zone of quiet, and in parameterization of adaptive control algorithms applied for ANC with no plant variations. Then, a case study of chaotic behavior of adaptive feedforward ANC system is described. Using a simplified model it is shown, how inevitable electro-acoustic plant modeling errors may significantly deteriorate adaptive ANC system performance.
UR - https://www.scopus.com/pages/publications/84871435039
M3 - Conference contribution
AN - SCOPUS:84871435039
SN - 9781615677368
T3 - 16th International Congress on Sound and Vibration 2009, ICSV 2009
SP - 4529
EP - 4536
BT - 16th International Congress on Sound and Vibration 2009, ICSV 2009
Y2 - 5 July 2009 through 9 July 2009
ER -