Performance evaluation of control strategies with different feedforward error sensors in active noise control

Proceedings of the XIV International Symposium on Dynamic Problems of Mechanics (DINAME 2011),
Si., Kurka, P. R. G. (Editors), ABCM, São Sebastião, SP , Brazil, March 13th - March 18th, 2011

Performance evaluation of control strategies with different feedforward error sensors in active noise control
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Siviero, D. A. , Goldenstein, A. L. , and Arruda, J. R. F.

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Universidade Estadual de Campinas, Departamento de Mecânica Computacional, Rua Mendeleyev, 200, Campinas,
SP, Brasil

Abstract: One of the problems faced today in the implementation of active noise control (ANC) applications is the choice of error sensors to provide the best control performance for a given target noise abatement, for example, in an airplane, where to place error sensors and which type of sensors to use to improve aircraft panel transmission loss at given frequencies Following these lines, this work shows the performance comparison of feedfo rward controllers in both time and frequency domain with different error sensors, namely a pressure sensor (microphone), widely used in this type of application and a particle velocity sensor (Microflown®, mod. Standard PU), which is believed to be less subject to ambient noise not correlated with the noise to be abated (e.g., boundary layer noise). Tests have been conducted in a plane wave tube using as control actuator a smart-foam under development, which uses a piezoelectric actuator. The controller performances were evaluated by the gain in sound transmission loss when the active noise control was on.
Keywords: Acoustic Noise Control, Transmission Loss, Adaptive Filtering, Smart Foam

INTRODUCTION
Feedforward control algorithms based on adaptive filtering are widely used and tested in different areas due to the simplicity of design and ease of application. (Kuo and Morgan, 1996; Widrow and Stearns, 1985 ). In ANC problems, many studies have used the Filtered-X LMS, FX-LMS, (Siviero et al, 2010, Donadon et