Virtual Laboratory for Intelligent Vector Control of AC Machines

This paper provides a description of an educational software for the application of neural network control to one case of nonlinear and unmodeled dynamic system as electrical drive for induction machines. This software facilitates practical teaching and learning about indirect field orientation control (IFOC) of induction machines and about intelligent control of induction machines with Real Time Recurrent Neural Networks (RTRNN) for overcoming IFOC limitations. Virtual laboratory includes virtual instruments for assisting the students in several areas: use of different reference frames, the induction machine behavior, IFOC principle and limitations, nonlinear identification with RTRNN and intelligent control for induction machines electrical drives. The software integrates all the tools needed in one only package and eliminates time dedicated to write source code, helping students in useful task as system control design and analysis.