MODELING AND INTELLIGENT CHATTER CONTROL STRATEGIES FOR A LATHE MACHINE

In the active chatter control of machine tools, the most effective way to suppress the chatter is to place the actuator as close as possible to the tool tip. However, in practice, it is almost impossible to put the actuator at the same location of the tool tip. Also, in many mach ines the cutting tools are usually long and may be flexible. Both of t hese problems pose serious problems in machine chatter control. In ord er to control the chatter effectively and efficiently, a systematic me thodology is proposed in this paper to deal with the modeling and cont rol system design aspects of this challenging problem. Because of the flexibility effect in the tool shaft, conventional active control appr oaches may not perform in an efficient and effective manner. Here, two advanced control algorithms (LMS adaptive filter and fuzzy CMAC neura l network) are proposed to counteract this problem. Experimental resul ts on a lathe machine are also included. Approximately 20 dB reduction in chatter has been achieved.