PROJECT TITLE :
Adaptive Feedforward Active Noise Cancellation in Ducts Using the Model Matching of Wave Propagation Dynamics
Active noise cancellation in ducts using multiple feedforward sensors are investigated by several researchers. When adaptive algorithms were applied, sometimes a lumped parameter model was assumed and also the model includes the dynamics of the duct, sensors and actuators (e.g., microphone and loudspeaker). The distributed nature of the duct typically ends up in a massive parameter space and is tough to implement direct adaptive management. This brief presents a control architecture which separates the duct's dynamics from those of sensors and actuators. An adaptive management algorithm is proposed to address the unknown dynamics of sensors and actuators. Experiments were conducted to show the effectiveness of the management law.
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