Active Vibration and Noise Control in Wood Machining Process

Abstract

The present work studies different approaches for active vibration and noise control through an adaptive control applied in a wood machining process. The active control algorithm tested was the LMS. The choice of LMS algorithm was made because it is the most commonly used in ANC applications, besides it is relatively simple to design and implement. The object of study of this project is a CNC programmable stationary wood machine system, located at the Institute of Machine Tools and Production Technology, in Braunschweig, Germany. The machine presented a very loud noise while working, becoming an inconvenient for its users. The work is basically divided in two parts. First, some control approaches are tested in simulation through the program Matlab in order to verify the performance of each approach. Finally, the algorithm and the control methods are implemented in the real process of wood machining. Piezoactuators, accelerometers and microphones were used for control and monitoring of vibration and noise, respectively. Satisfactory results of vibration and noise reduction are obtained, showed and discussed to finally choose the most efficient approach.