论文信息 - Filtered-X Adaptive Neuro-Fuzzy Inference Systems for Nonlinear Active Noise Control

Filtered-X Adaptive Neuro-Fuzzy Inference Systems for Nonlinear Active Noise Control

A new method for active noise control is proposed and experimentally demonstrated. The method is based on Adaptive Neuro-Fuzzy Inference Systems (ANFIS), which is introduced to overcome nonlinearity inherent in active noise control. A new algorithm referred to as Filtered-X ANFIS algorithm suitable for active noise control is proposed. Real-time experiment of Filtered-X ANFIS is performed using floating point Texas Instruments C6701 DSP. In contrast to previous work on ANC using computational intelligence approaches which concentrate on single channel and off-line adaptation, this research addresses multichannel and employs online adaptation, which is feasible due to the computing power of the DSP.

Riyanto T. Bambang | R. Bambang

[1] Sen M. Kuo,et al. Active Noise Control Systems: Algorithms and DSP Implementations , 1996 .

[2] S. Haykin,et al. Adaptive Filter Theory , 1986 .

[3] Ruben Garrido,et al. 2004 5th Asian Control Conference , 2004 .

[4] Dennis S. Bernstein,et al. Modeling, identification, and feedback control of noise in an acoustic duct , 1996, IEEE Trans. Control. Syst. Technol..

[5] Madasu Hanmandlu,et al. Generalization of adaptive neuro-fuzzy inference systems , 2000, IEEE Trans. Neural Networks Learn. Syst..

[6] Martin Bouchard,et al. Improved training of neural networks for the nonlinear active control of sound and vibration , 1999, IEEE Trans. Neural Networks.

[7] Martin Bouchard,et al. New recursive-least-squares algorithms for nonlinear active control of sound and vibration using neural networks , 2001, IEEE Trans. Neural Networks.

[8] S.J. Elliott,et al. Active noise control , 1993, IEEE Signal Processing Magazine.

[9] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .

[10] Chuen-Tsai Sun,et al. Neuro-fuzzy modeling and control , 1995, Proc. IEEE.

[11] R.T. Bambang,et al. Identification of secondary path in ANC using diagonal recurrent neural networks with EKF algorithm , 2004, 2004 5th Asian Control Conference (IEEE Cat. No.04EX904).

[12] S. J. Elliott. Down with noise [active noise control] , 1999 .