Vector control of induction motor using a hybrid neural network/fuzzy logic model

This paper presents the practical implementation scheme of a three-phase induction motor vector drive using a hybrid neural network/fuzzy logic control model. In vector control, the three phase currents are transformed into a single current vector rotating at synchronous speed. The transformation enabled a single control output to control current values in all the three phases thus greatly simplifying the control model. This paper incorporates a hybrid neural network/fuzzy logic model into the vector control model to make it more intelligent. The neural network/fuzzy logic model is used as a universal function approximator that transforms the user input command and the speed sensor feedback to Δl_q (the change in q current quantities) and the machine synchronous speed