Browsing by Subject "equalization"

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Access status: Open Access ,
Feed-forward compensation for nonlinearity of vibrating plate as the sound source for active noise control
(2011) Mazur, Krzysztof; Pawełczyk, Marek
Active Noise Control (ANC) systems are usually designed in the feed-forward structure with adaptive linear control filters. However, performance of such systems, when a vibrating plate is used as the secondary source, may be poor due to significant non-linearity of the plate response. The linear systems are then unable to cope with higher harmonics generated by the nonlinearity. One solution to this problem is to apply a nonlinear ANC algorithm. However, it adds additional complexity to this layer. It is particularly severe for multichannel systems, where the algorithms are complex by themselves, and making them nonlinear may significantly reduce their scalability. In this paper, another approach is proposed. Multiple actuators are mounted on a single plate, in order to effectively excite more vibration modes and generate a higher acoustic power, than in case of a single actuator. The response of the vibrating plate as the sound source is then linearized with a set of nonlinear finite impulse response filters, operating individually for each actuator. The Filtered-x LMS algorithm is adopted to update parameters of the nonlinear filters. The control system is experimentally verified and obtained results are reported.
Access status: Open Access ,
Feed-forward equalization of sound radiation from a vibrating plate
(2012) Mazur, Krzysztof; Pawełczyk, Marek
In this paper an adaptive single input - multiple output feed-forward system for sound radiation from a vibrating plate is investigated. Finite impulse response filters are used to generate control signals for each actuator based on the common input signal. The filters are updated with the Filtered-x LMS algorithm in order to minimize the instantaneous squared value of the difference between the sound pressure measured at the specified point in the acoustic field, and the desired signal being the input signal filtered by the assumed secondary path transfer function model. Performance of the system is experimentally verified and obtained results are reported.