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
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;
Conference_Titel :
American Control Conference, 2003. Proceedings of the 2003
Print_ISBN :
0-7803-7896-2
DOI :
10.1109/ACC.2003.1243447
