Abstract
Various structual measures against vibration and noise were taken in a training ship, Osima Maru. However,an unpleasant sound persisted in the messroom, where crews take their breaks. In order to reduce the noise, active controllers were investigated and one of them, the phase corrected filtered error LMS algorithm, is corrected to satisfy causality on its update processes. Some of them were preconditioned using the inverse of the plant because their convergence rates are limited by the dynamics and coupling within the plant response. The algorithms were compared under the same conditions to investigate differences in their properties and also corrected to satisfy the causality of their update processes. Simulations for acontrol system were introduced using plant responses measured from a loudspeaker toa microphone in the mesroom inside Oshima Maru. After investigating the convergence speed in various gradient descent adaptation algorithms, the results were integrated with the actual plant response and applied to the active control of ship interior noise.
