New approach of induction machine drive using an adaptive digital PID controller with gain planning based on artificial neural networks

Abstract

Introduces a strategy of induction machines speed adjustment using an adaptive PID digital controller with gain planning based on artificial neural networks. This digital controller uses an auxiliary variable to determine the ideal induction machine operating conditions and to establish the closed loop gain of the system. The auxiliary variable value can be estimated from the information stored in a general-purpose artificial neural network based on CMAC.