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

fYear

1990

Firstpage

1129

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics Society, 1990. IECON '90., 16th Annual Conference of IEEE

Conference_Location

Pacific Grove, CA

Print_ISBN

0-87942-600-4

Type

conf

DOI

10.1109/IECON.1990.149296

Filename

149296