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

fYear

1996

fDate

15-18 Sep 1996

Firstpage

235

Lastpage

240

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 1996., Proceedings of the 1996 IEEE International Conference on

Conference_Location

Dearborn, MI

Print_ISBN

0-7803-2975-9

Type

conf

DOI

10.1109/CCA.1996.558636

Filename

558636