Model identification for Active Noise Control - a case study

• Autorzy: Kasprzyk J.
• Języki publikacji: EN

Abstrakty

EN

One of the typical problems in active noise control (ANC) system design is identification of an electro-acoustic plants. In the example considered models are required to parameterize an adaptive feedforward ANC system creating a local 3-dimensional zone of quiet in an enclosure. The structure of a multi-channel control system involves the necessity of identification of transfer functions for secondary and acoustic feedback paths. Plants to be identified are of MISO (Multi-Input-Single-Output) type with three inputs. The problem of designing the identification experiment is considered and different excitation signals are tested. Complexity of the plant implies that identified models should be of a very high order and the ordinary least squares method is the most applicable for model fitting in this case. Since there are no prerequisites for model structure assumption, delays and polynomial orders are to be identified too. This is done by iterative procedure of testing different structures and selection this one which minimizes the BIC criterion. The results of real-world experiments are presented and accuracy of frequency response estimates of parametric models is proved using a classical spectral analysis.

Słowa kluczowe

EN

active noise control; process identification; parameter estimation; models

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2004
• Tom: Vol. 14, no. 3/4
• Strony: 247--271
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Kasprzyk J.

• Silesian University of Technology, Institute of Automatic Control, Akademicka 16, PL 44-100 Gliwice, Poland,

Bibliografia

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