Title :
Control of metal-cutting process using neural fuzzy controller
Author :
Balazinski, M. ; Czogala, E. ; Sadowski, T.
Author_Institution :
Mech. Eng. Dept., Ecole Polytech. de Montreal, Que., Canada
Abstract :
The authors suggest two structures for a neural fuzzy controller which link the ideas of a fuzzy controller and a neural network. Results of simulations comparing the performance of such a controller to that of a conventional fuzzy logic controller are presented. The experiment indicates that the performance of the neural fuzzy controller is satisfactory. It performs as well as a conventional fuzzy logic controller while being more flexible and faster
Keywords :
cutting; fuzzy control; fuzzy logic; neural nets; process computer control; fuzzy logic; metal-cutting process; neural fuzzy controller; neural network; Error correction; Expert systems; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Humans; Machining; Neural networks; Process control; Turning;
Conference_Titel :
Fuzzy Systems, 1993., Second IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0614-7
DOI :
10.1109/FUZZY.1993.327497
