Title :
Modeling and intelligent chatter control strategies for a lathe machine
Author :
Pan, G. ; Xu, H. ; Kwan, C.M. ; Liang, C. ; Haynes, L. ; Geng, Z.
Author_Institution :
Intelligent Autom. Inc., Rockville, MD, USA
Abstract :
We propose two advanced control algorithms, the LMS adaptive filter and fuzzy CMAC neural network, to counteract the chatter problem for a lathe machine. Experimental results are also included. Approximately 20 dB reduction in chatter has been achieved. We have also developed a multi-DSP board which can be used to implement any type of intelligent controllers to machine systems. Other potential applications of the proposed methods are to milling and boring machines
Keywords :
adaptive filters; cerebellar model arithmetic computers; fuzzy control; fuzzy neural nets; intelligent control; machine tools; modelling; neurocontrollers; two-term control; vibration control; LMS adaptive filter; PD controllers; boring machines; fuzzy CMAC neural network; intelligent chatter control; lathe machine; milling; modeling; multi-DSP board; Adaptive filters; Automatic control; Control system synthesis; Control systems; Fuzzy control; Intelligent actuators; Intelligent control; Intelligent robots; Machine intelligence; Robotics and automation;
Conference_Titel :
Control Applications, 1996., Proceedings of the 1996 IEEE International Conference on
Conference_Location :
Dearborn, MI
Print_ISBN :
0-7803-2975-9
DOI :
10.1109/CCA.1996.558636
