Title :
Fuzzy neural position controller for servomotor
Author :
Strefezza, Miguel ; Dote, Yasuhiko
Author_Institution :
Dept. of Comput. Sci. & Syst. Eng., Muroran Inst. of Technol., Japan
Abstract :
A neuro fuzzy position controller for a servomotor, which is a nonlinear controller and gives much higher control performance for highly nonlinear systems than a linear controller, is proposed. The simulation results show that it is robust and has self-tuning capabilities
Keywords :
fuzzy control; machine control; neural nets; nonlinear control systems; position control; self-adjusting systems; servomotors; fuzzy control; machine control; neural nets; nonlinear controller; performance; position controller; robust; self-tuning; servomotor; simulation; Computer networks; Control systems; Fuzzy control; Fuzzy logic; Fuzzy neural networks; High performance computing; Humans; Neural networks; Niobium; Servomotors;
Conference_Titel :
Industrial Electronics, 1992., Proceedings of the IEEE International Symposium on
Conference_Location :
Xian
Print_ISBN :
0-7803-0042-4
DOI :
10.1109/ISIE.1992.279575
