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.