Study of Noise Canceling Performance of Feedforward Fuzzy-Based ANC System under Non-Causal Condition

Feed-forward active noise control (ANC) systems act as adaptive systems to control and cancel undesired signals and noises. If the delay in the noise canceling subsystems increases more than the delays in the primary path, non-causal condition will occur in these systems. In this paper, study of noise canceling performance of feed-forward fuzzy-based ANC systems for ducts under non-causal condition is presented. For this purpose, we use fuzzy filtered-x algorithm as an adaptive filter and the results are compared with classical filtered-x algorithm which is employed under the same conditions. Analysis shows that ANC system using fuzzy algorithm has better efficiency for noise cancellation in non-causal condition

[1]  S. Thomas Alexander,et al.  Adaptive Signal Processing , 1986, Texts and Monographs in Computer Science.

[2]  O. Kipersztok,et al.  Fuzzy active control of a distributed broadband noise source , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

[3]  Cheng-Yuan Chang,et al.  A self-tuning fuzzy filtered-U algorithm for the application of active noise cancellation , 2002 .

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

[5]  J. Burgess.  Active adaptive sound control in a duct: A computer simulation , 1981 .

[6]  O. Kipersztok,et al.  The use of fuzzy logic in active noise control , 1995, Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society.

[7]  Xuan Kong,et al.  Study of causality constraint on feedforward active noise control systems , 1999 .

[8]  H. Janocha,et al.  Simulation approach and causality evaluation for an active noise control system , 1998 .

[9]  S. C. Southward,et al.  Active Control of Noise and Vibration , 1996 .

[10]  Jerry M. Mendel,et al.  Fuzzy adaptive filters, with application to nonlinear channel equalization , 1993, IEEE Trans. Fuzzy Syst..

[11]  K. Shyu,et al.  Active noise cancellation with a fuzzy adaptive filtered-X algorithm , 2003 .

[12]  Dennis R. Morgan,et al.  An analysis of multiple correlation cancellation loops with a filter in the auxiliary path , 1980, ICASSP.

[13]  Un-Chul Moon,et al.  A self-organizing power system stabilizer using fuzzy auto-regressive moving average (FARMA) model , 1996 .

[14]  Chuen-Chien Lee.  FUZZY LOGIC CONTROL SYSTEMS: FUZZY LOGIC CONTROLLER - PART I , 1990 .

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

[16]  Sen M. Kuo,et al.  Active noise control: a tutorial review , 1999, Proc. IEEE.