Control of high speed Linear Induction Motor using Artificial Neural Networks

Author

Abbasian, Mohammadali ; Soltani, Jafar ; Salarvand, Ali

Author_Institution

Eng. Dept., Islamic Azad Univ.- Khorasgan Branch, Isfahan

fYear

2008

fDate

25-27 May 2008

Firstpage

415

Lastpage

421

Abstract

This paper presents a controller for speed and flux control of a high speed linear induction motor (LIM) drive considering end effect. The backstepping control and artificial neural networks (ANN ) are combined in order to design a robust controller that is capable of preserving the drive system robustness subject to all parameter variations and uncertainties. The overall system stability is proved by Lyaponuv theory. The effectiveness and validity of the proposed controller is supported by computer simulation results.

Keywords

Lyapunov methods; angular velocity control; control system synthesis; induction motor drives; linear motors; machine control; neurocontrollers; robust control; uncertain systems; Lyaponuv theory; artificial neural networks; backstepping control; computer simulation; flux control; high speed linear induction motor drives; parameter variations; robust controller; speed controller; Artificial neural networks; Control systems; Force control; Induction motors; Linear feedback control systems; Remuneration; Robust control; Stator windings; Uncertain systems; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Human System Interactions, 2008 Conference on

Conference_Location

Krakow

Print_ISBN

978-1-4244-1542-7

Electronic_ISBN

978-1-4244-1543-4

Type

conf

DOI

10.1109/HSI.2008.4581475

Filename

4581475