On optimum speaker placement with a model-based approach for indoor local active noise control applications

Abstract

In this study, a control system actively canceling the noise will be developed through a model-based algorithm to reduce the noise generated in the room on individuals in an environment as much as possible. The model-based design approach is preferred because it is convenient for optimization and can be applied much more effortlessly than real experiments; it is applied using the finite difference method. The model developed within this scope has been validated by comparing it with the acoustic test data performed in an empty room. The positioning of loudspeakers was accomplished through a heuristic search algorithm to obtain the highest local cancellation of noise originating in the acoustic cavity from any position(s) in the targeted area. The feedforward adaptive control system chosen to drive the control loudspeakers is implemented using the least mean squares algorithm. The efficiency of the designed system under different noise conditions was examined, and two of them were included in the study.