Title :
A neuro-PID speed controller for DC drives
Author :
Rao, D.H. ; Kamat, H.V.
Author_Institution :
Dept. of Electron. & Commun. Eng., Gogte Inst. of Technol., Karnataka, India
Abstract :
In this paper, a hybrid controller, consisting of a conventional proportional-integral-derivative (PID) controller and a neurocontroller, is proposed. This controller combines the learning capabilities of artificial neural network-based controllers and the global asymptotic stability of conventional PID controllers to control a DC motor. This kind of controller provides better control of nonlinear plant which otherwise would have been difficult to control without the proper tuning of PID gains. Simulation results are presented for the speed control of a DC motor
Keywords :
DC motor drives; asymptotic stability; control system analysis; control system synthesis; learning (artificial intelligence); machine control; machine theory; neurocontrollers; three-term control; variable speed drives; velocity control; DC motor drive; PID neurocontroller; artificial neural network; control design; control simulation; global asymptotic stability; hybrid controller; learning capabilities; nonlinear plant control; speed control; Artificial neural networks; Communication system control; Control systems; DC motors; Error correction; PD control; Pi control; Proportional control; Steady-state; Three-term control;
Conference_Titel :
Power Electronics, Drives and Energy Systems for Industrial Growth, 1996., Proceedings of the 1996 International Conference on
Conference_Location :
New Delhi
Print_ISBN :
0-7803-2795-0
DOI :
10.1109/PEDES.1996.535874
