Title :
Stability analysis of a digital current controller for a PWM inverter using a neural network
Author :
Itoh, Y. ; Furuhashi, Takeshi ; Okuma, S. ; Uchikawa, Y.
Author_Institution :
Dept. of Electron. Mech. Eng., Nagoya Univ., Japan
Abstract :
A stability analysis of a digital current controller for a PWM (pulsewidth-modulation) inverter using a neural network is described. The Lyapunov method is used for the analysis. The stability condition for the learning rate of the neural network is clarified. Simulations and experiments done to verify the analytical results show that the neural network can stably compensate a delay necessary for calculation of the digital controller itself and tune gains of the current controller to optimal values
Keywords :
Lyapunov methods; compensation; control system analysis computing; digital control; electric current control; invertors; learning systems; neural nets; pulse width modulation; stability; Lyapunov method; PWM inverter; compensation; control system analysis; delay; digital current controller; gains; learning rate; neural network; stability analysis; tuning; Analytical models; Automatic control; Digital control; Lyapunov method; Neural networks; Optimal control; Pulse width modulation; Pulse width modulation inverters; Stability analysis; Voltage;
Conference_Titel :
Industrial Electronics Society, 1990. IECON '90., 16th Annual Conference of IEEE
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-87942-600-4
DOI :
10.1109/IECON.1990.149296
