Title :
An optimization approach for the fuzzy control of turning operations
Author :
Tarng, Y.S. ; Lin, C.Y. ; Nian, C.Y.
Author_Institution :
Dept. of Mech. Eng., Nat. Taiwan Inst. of Technol., Taipei, Taiwan
Abstract :
It is well known that membership functions have a great influence on the control performance of fuzzy logic controllers. An optimization design of membership functions based on genetic algorithms is proposed to control nonlinear and time-varying turning processes with a constant cutting force
Keywords :
controllers; cutting; fuzzy control; fuzzy logic; genetic algorithms; intelligent control; machine tools; nonlinear control systems; optimal control; time-varying systems; constant cutting force; control performance; fuzzy control; genetic algorithms; membership functions; nonlinear turning process control; optimization approach; optimization design; time-varying turning process control; turning operations; Engines; Force control; Force measurement; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Genetic algorithms; Optimal control; Turning;
Conference_Titel :
Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on
Conference_Location :
Dunedin
Print_ISBN :
0-8186-7174-2
DOI :
10.1109/ANNES.1995.499460
