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Abstrakty
The problems of convergence and stability of adaptive active noise control systems with the Filtered-Reference LMS algorithm are discussed. First, the assumptions required to derive convergence conditions are collected and addressed. Then, it is demonstrated that feedback systems are subject to convergence conditions different than those used for feedforward systems. Moreover, the problems of convergence of the adaptation algorithm and stability of the structural feedback loop are coupled. Theoretical considerations are supported by simulations experiments.
Słowa kluczowe
Wydawca
Czasopismo
Rocznik
Tom
Strony
529--535
Opis fizyczny
Bibliogr. 9 poz.
Twórcy
autor
- Silesian University of Technology Institute of Automatic Control, Akademicka 16, 44-101 Gliwice, Poland, Marek.Pawelczyk@polsl.pl
Bibliografia
- [1] CHEN H. F., GUO L., Identification and stochastic adaptive control, Birkhäuser, Boston 1991.
- [2] ELLIOTT S. J., Signal processing for active control, Academic Press, London 2001.
- [3] ELLIOTT S. J., STOTHERS I.M., NELSON P. A., A multiple error LMS algorithm and its application to the active control of sound and vibration, IEEE Trans. Acoustics Speech and Signal Processing, 35, 1423.1434 (1987).
- [4] FIGWER J., A new method of on-line model identification and update for multichannel active noise control systems, Archives of Control Sciences, 13, 2, 11.155 (2003).
- [5] MACCHI O., Adaptive processing. The least mean squares approach with applications in transmission, J. Wiley & Sons. Chichester 1995.
- [6] PAWEŁCZYK M., Feedback control of acoustic noise at desired locations,Wydawnictwo Politechniki Śląskiej, No. 1684, z. 141, Gliwice 2005.
- [7] PAWEŁCZYK M., An adaptive feedback control system with the Filtered-Reference LMS algorithm, Proceedings of 12th IEEE International Conference MMAR 2006.
- [8] VAUDREY M. A., BAUMANN W. T., SAUNDERS R., Stability and operating constraints of adaptive LMS . feedback control, Automatica, 39, 595.605 (2003).
- [9] WANG A. K., REN W., Convergence analysis of the multi-variable filtered-x algorithm with application to active noise control, IEEE Trans. Signal Processing, 47, 1166.1169 (1999).
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-article-BAT8-0003-0052