Comparison with Adaptive Controllers for Feedforward Control and its Application to the Active Control of Ship Interior Noise

Abstract

Various structural measures against vibration and noise were taken in a training ship, Oshima Maru. However, an unpleasant sound persisted in the mess hall, 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. The algorithms were compared under the same conditions to investigate differences in their properties. Simulations for a control system were introduced using plant responses measured from a loudspeaker to a microphone in the mess hall 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.