Length Variation Effect of the Impulse Response Model of a Secondary Path in Embedded Control

Abstract

The length variation impact of the impulse response function (IRF) for the secondary path model in active noise control utilizing an embedded control board is investigated theoretically and experimentally in this work. The control disturbance in an 1800 mm-long duct was a narrowband sweep noise. The length variation of the IRF model integrated into an adaptive feedforward filtered-x LMS (FxLMS) method was then examined in terms of the mean square error, computation cost, stability requirement, and attenuation performance before and after control. A dSPACE DS1104 embedded control board was used to build the FxLMS algorithm with different IRF lengths for real-time control. Ultimately, the systematic analysis can find the most suitable IRF length, taking into account computing complexity and performance. The study's findings can be used to realistic active noise control systems.