Induction Motor Driven by a CAMC Using Predictive Control

Abstract

This work presents a control strategy for an induction motor fed by a Cascade Asymmetric Multilevel Converter (CAMC). The approach is based on the Finite-States Model Predictive Control technique and uses the dynamic motor model and the converter model to pre-calculate the evolution of the variables of interest. These target variables are jointly compared with their reference values by means of an optimization function which allows to determine the best state among all switching combinations. This selection is carried out in a direct way, in each sampling period without modulator.