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Related Experiment Videos

Orthogonal adaptation for multichannel feedforward control.

Jing Yuan1

  • 1Department of Mechanical Engineering, The Hong Kong Polytechnic University, Hunghom, Kowloon, Hong Kong. mmjyuan@polyu.edu.hk

The Journal of the Acoustical Society of America
|January 18, 2007
PubMed
Summary
This summary is machine-generated.

This study extends orthogonal adaptation for active noise control to multichannel systems, enabling model-independent destructive interference. Solutions are provided for optimizing feedforward controllers, even with nonminimum phase secondary paths, for practical implementation.

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Area of Science:

  • Acoustics
  • Signal Processing
  • Control Systems Engineering

Background:

  • Active noise control (ANC) aims for destructive interference using model-independent control.
  • Orthogonal adaptation is a method applicable to single-channel ANC systems.
  • Extending ANC to multichannel systems presents challenges, particularly with nonminimum phase secondary paths.

Purpose of the Study:

  • To extend the orthogonal adaptation method to multichannel active noise control systems.
  • To analytically solve the problem of optimizing feedforward controllers in the minimum H2 norm sense for multichannel systems, including those with nonminimum phase secondary paths.
  • To present a recursive least squares algorithm for online identification of multiple paths without persistent excitations.

Main Methods:

  • Extension of the orthogonal adaptation method to multichannel systems.
  • Analytical solutions for H2 norm optimal feedforward controller design in multichannel systems with nonminimum phase secondary paths.
  • Development of a recursive least squares algorithm for online multi-path identification.

Main Results:

  • Achieved analytical solutions for designing H2 feedforward controllers in challenging multichannel ANC scenarios.
  • Presented a practical and economical approach to controller optimization.
  • Demonstrated an online identification algorithm for multiple paths without requiring persistent excitations.
  • Enabled noninvasive, mode-independent controllers for multichannel systems.

Conclusions:

  • The developed methods and algorithms successfully extend model-independent active noise control to multichannel systems.
  • The solutions address the critical issue of nonminimum phase secondary paths, offering practical implementation possibilities.
  • Experimental results validate the analytical findings, confirming the effectiveness of the proposed approach for multichannel ANC.