Evolving fuzzy controller applied in indirect field oriented control of induction motor

Abstract

This paper presents the indirect rotor field orientation vector control of a squirrel-cage three-phase induction motor, where an evolving fuzzy controller is used. Both the structure and the parameters of the controller are defined and adapted online from data collected by the plant, without the need of any type of pre-training or previous knowledge of the plant's dynamics. Computational simulations are made under different conditions and validate the capacity of adaptation and autonomy of the controller, which proved to be stable and presented good dynamic response in all the several simulated situations.