抄録
This paper proposes an application of Learning Control algorithm to active control of fan noise. Learning control has been developed for the motion control of robot hand, for which a template of the trajectory is given. The robot learns an appropriate motion sequence by repeating trials of control when the error from the template is fed back to the controller. This control algorithm is transferred to the active control of periodic sound. The advantage of the learning control is found at compactness of the control program and quickness of the error convergence. The control experiment was successfully conducted for the fan noise applying the learning control to the periodic sound components. The experimental result proved the effectiveness of the learning control better than that of LMS feed forward control. In order to enhance the utility of the learning control the effect of the gain matrix to the quality of control is investigated by utilizing the numerical simulation. The trend of efficient matrix is shown numerically.
