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
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;
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.1992.279571
