DocumentCode
2269014
Title
Neuro-fuzzy control for turning processes
Author
Wang, Ning ; Liang, Jun ; Yang, Guang
Author_Institution
Res. Inst. of Adv. Process Control, Zhejiang Univ., Hangzhou, China
Volume
3
fYear
2003
fDate
4-6 June 2003
Firstpage
2477
Abstract
The neuro-fuzzy control method for a constant cutting force metal turning process is proposed in this paper. The model of a turning process is described. After discussing the neuron controller and a basic fuzzy controller, the neuro-fuzzy control system is designed. The new model-free controller is combined with both the neuron controller and fuzzy controller. The simulation results of using the proposed controller for a cutting process show that this controller has very strong robustness and good performance.
Keywords
control system synthesis; cutting; fuzzy control; neurocontrollers; robust control; turning (machining); constant cutting force; control system synthesis; fuzzy control; learning strategy; metal turning processes; neurocontroller; robustness; Automatic control; Control systems; Feeds; Force control; Fuzzy control; Neurons; Process control; Servosystems; Shape control; Turning;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2003. Proceedings of the 2003
ISSN
0743-1619
Print_ISBN
0-7803-7896-2
Type
conf
DOI
10.1109/ACC.2003.1243447
Filename
1243447
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