Design of a near-optimal adaptive filter in digital signal processor for active noise control

Shih-Ming Yang, K. F. Lee, S. E. Tsai

Research output: Contribution to journalArticle

Abstract

Adaptive filter has been applied in adaptive feedback and feedforward control systems, where the filter dimension is often determined by trial-and-error. The controller design based on a near-optimal adaptive filter in digital signal processor (DSP) is developed in this paper for real-time applications. The design integrates the adaptive filter and the experimental design such that their advantages in stability and robustness can be combined. The near-optimal set of controller parameters, including the sampling rate, the dimension of system identification model, the dimension (order) of adaptive controller in the form of an FIR filter, and the convergence rate of adaptation is shown to achieve the best possible system performance. In addition, the sensitivity of each design parameter can be determined by analysis of means and analysis of variance. Effectiveness of the adaptive controller on a DSP is validated by an active noise control experiment.

Original languageEnglish
Pages (from-to)43-54
Number of pages12
JournalInternational Journal of Adaptive Control and Signal Processing
Volume22
Issue number1
DOIs
Publication statusPublished - 2008 Feb 1

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Signal Processing
  • Electrical and Electronic Engineering

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