Using the monitored neural network to control the speed of three-phase asynchronous motor
10 months ago
Authors:
Nguyễn Thanh Hiền
Publication date:
01 / 11 / 2022
Name of Publishers:
Journal of the Ministry of Industry and Trade
Abstract:
Speed control of a three-phase asynchronous motor (KDB) is a complex process because of the nonlinear nature of the control. The article applies a model of a three-phase asynchronous motor with rotor flux-oriented control (RFOC), in which the neural network application is supervised through learning the PID controller to control the motor speed and moment stability. Through the analysis results on the Matlab Simulink model, it shows that the application of the supervised neural network has good response to moment stability, load current and stabilizes the electric motor speed when the load changes.