Abstract
Active noise control of an acoustic duct system is studied by a real state-space model in this paper. The linear quadratic Gaussian (LQG) method is chosen to design an active noise controller in order to reject noise in a collocated duct system subject to a disturbance source at one end. Robustness property of the designed controller with respect to the uncertainty of a complex-valued acoustic impedance at the other end is validated through computer simulations. A nominal real-valued acoustic impedance is therefore used to design reduced order controllers. The design parameters of the LQG method are automatically adjusted by using a simple genetic algorithm (SGA) to achieve a better global control effect. This adjustment is guided by a fitness function of SGA specified by a control objective. Results from computer simulation demonstrate the global effectiveness of the active noise controllers. Results of experiments also support the feasibility of the proposed design method.
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