Virtual sensors for active noise control in acoustic-structural coupled enclosures using structural sensing: robust...

Area of Science:

• Vibro-acoustics
• Control Systems Engineering
• Signal Processing

Background:

• Acoustic interior sound pressure estimation is crucial for active noise control.
• Existing methods struggle with dynamic uncertainties in coupled acoustic-structural systems.
• Robust virtual sensing is needed for reliable performance.

Purpose of the Study:

• Develop a robust virtual sensing methodology for vibro-acoustic systems.
• Estimate broadband acoustic interior sound pressure using structural sensors.
• Ensure robustness against dynamic uncertainties in coupled enclosures.

Main Methods:

• Design a virtual sensor using a convex combination of Kalman sub-filters.
• Accommodate perturbed dynamic models of the vibro-acoustic enclosure.
• Employ minimax optimization for optimal worst-case virtual sensing performance.

Main Results:

• The virtual sensor accurately estimated interior sound pressure, especially for cavity-controlled modes.
• Effective active noise control was achieved using the virtual sensing technique.
• Demonstrated robustness against worst-case dynamics in a panel-cavity system.

Conclusions:

• The proposed virtual sensing design methodology is robust for sensing and active control.
• Accurate estimation of interior sound pressure is achievable with structural sensors.
• The technique enables effective active noise control under dynamic uncertainties.