Virtual Laboratory for Intelligent Vector Control of AC Machines

Author

Zorzano, Luis F. ; Zorzano, José ; Martinez, Abelardo ; Zorzano, Antonio ; Vicuña, Javier

Author_Institution

Univ. of La Rioja, La Rioja

fYear

2007

fDate

3-5 Oct. 2007

Firstpage

1

Lastpage

6

Abstract

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.

Keywords

control engineering computing; induction motor drives; intelligent control; machine vector control; neurocontrollers; nonlinear control systems; power engineering computing; recurrent neural nets; virtual instrumentation; AC machines; indirect field orientation control; induction machines electrical drives; intelligent vector control; neural network control; nonlinear system; real time recurrent neural networks; unmodeled dynamic system; virtual instruments; virtual laboratory; write source code; AC machines; Application software; Induction machines; Intelligent control; Laboratories; Learning systems; Machine intelligence; Machine vector control; Neural networks; Nonlinear control systems; Artificial Neural Networks; Educational Software; Vector Control of AC Machines; Virtual Laboratory;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing, 2007. WISP 2007. IEEE International Symposium on

Conference_Location

Alcala de Henares

Print_ISBN

978-1-4244-0830-6

Electronic_ISBN

978-1-4244-0830-6

Type

conf

DOI

10.1109/WISP.2007.4447603

Filename

4447603