A Study on Multi-Input Multi-Output Active Noise Control System's Performance at Steady State

Abstract:

A method for determining whether a multi-input multi-output (MIMO) active noise control (ANC) system can reduce error signals around all sensors to zero at steady state was proposed. The method was converted to determine the solution of linear equations. Three different simulations were conducted to verify the theoretical analysis. Simulation shows that max estimation error of control signals is no greater than 1.87% in amplitude and 2.22 deg. in phase.

• Periodical: Applied Mechanics and Materials (Volumes 373-375)
• Pages: 727-731
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.373-375.727
• Online since: August 2013
• Authors: Tong Zhao, Hai Fei Wu
• Keywords: Active Noise Control, Filtered-X Least Mean Square, Linear Equations, Steady State

References

[1] S. M. Kuo and D. R. Morgan: Proc. of the IEEE Vol. 87 (1999), p.943.

[2] D. R. Morgan: IEEE Trans. on Acoustics, Speech & Signal Process. Vol. 28 (1980), p.454.

[3] M. Li, T. C. Lim, W. S. Shepard, et al: Smart Mater. Struct. Vol. 14 (2005), p.917.

[4] G. Chen, T. Sone, N. Saito, et al: J. Sound Vib. Vol. 216 (1998), p.637.

[5] G. Chen, T. Sone and M. Abe: J. Sound Vib. Vol. 195 (1996), p.217.

[6] H. J. Jeon, T. G. Chang and S. M. Kuo: IEEE T. Audio Speech Vol. 18 (2010), p.1632.

[7] G. Chen, H. Wang, K. Chen, et al: J. Sound Vib. Vol. 311 (2008), p.729.

[8] Y. Xiao: IEEE T. Audio Speech Vol. 19 (2011), p.1865.

[9] M. D. Diego and A. Gonzlez: J. Sound Vib. Vol. 244 (2001), p.615.

[10] F. Yang, A. Gupta and S. M. Kuo: J. Sound Vib. Vol. 14 (2008), p.931.