Abstract

In various simulation studies for active noise control, noises are taken as tonal, multi-tonal, random broadband, and simulated chaotic noise. In reality, noises from real machines combine all these types of noises and background noise. This paper presents a comparative analysis of filtered-x least means square, filtered-e least mean square, filtered-x recursive least mean square, filtered-u least mean square, and leaky FxLMS for active noise control. Experimentally recorded noises of Band saw, CNC, Compressor, and welding processes are utilized for the analysis. The analysis is carried out for (a) linear primary and linear secondary paths, and (b) nonlinear primary and linear secondary paths. Their performance is evaluated based on steady-state residual noise and convergence time for various noises.

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