DocumentCode
1687649
Title
PID auto-tuning controller using a single neuron for DC servomotor
Author
Yanagawa, Satoshi ; Miki, Ichiro
Author_Institution
Dept. of Electr. Eng., Tokyo Polytech. Coll., Japan
fYear
1992
Firstpage
277
Lastpage
280
Abstract
The single neuron used has three input connections that have associated weights. Each gain parameter corresponding with each weight of the single neuron is determined in accordance with the learning method based on the delta rule. The structure of this system is very simple and practical. The motor speed control system with 100 W DC servomotor has been simulated and experimented upon. These results show the good tuning performance of this controller
Keywords
DC motors; learning systems; machine control; neural nets; self-adjusting systems; servomotors; three-term control; velocity control; 100 MW; DC servomotor; PID auto-tuning controller; delta rule; gain parameter; learning method; neural nets; single neuron; speed control system; three input connections; Control systems; DC motors; Education; Learning systems; Neural networks; Neurons; Servomechanisms; Servomotors; Three-term control; Velocity control;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics, 1992., Proceedings of the IEEE International Symposium on
Conference_Location
Xian
Print_ISBN
0-7803-0042-4
Type
conf
DOI
10.1109/ISIE.1992.279571
Filename
279571
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