NEURAL NETWORK CONTROL SCHEMES FOR INDUCTION MOTOR DRIVE SYSTEMS

Ahmed F. Abd El-Halim; Hasan A. Yousef; Medhat M. El-Genaidy

doi:10.1109/MWSCAS.2003.1562476

NEURAL NETWORK CONTROL SCHEMES FOR INDUCTION MOTOR DRIVE SYSTEMS

Ahmed F. Abd El-Halim, Hasan A. Yousef, Medhat M. El-Genaidy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

This paper presents three control schemes for induction motor drive. The first scheme is the model reference neural network controller for field oriented induction motor model The second scheme uses a simplified induction motor model along with the model reference neural network controller and after that the same controller will be applied for the field oriented induction motor model to show the validity of the simplified model. The third scheme relies on input-output feedback linearization neural network control. Simulation results for the three control schemes are given to show the effectiveness of the proposed controllers.

Original language	English
Title of host publication	Midwest Symposium on Circuits and Systems
Editors	Nadder Hamdy
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1055-1058
Number of pages	4
ISBN (Electronic)	0780382943
DOIs	https://doi.org/10.1109/MWSCAS.2003.1562476
Publication status	Published - 2003
Externally published	Yes
Event	46th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2003 - Cairo, Egypt Duration: Dec 27 2003 → Dec 30 2003

Publication series

Name	Midwest Symposium on Circuits and Systems
Volume	3
ISSN (Print)	1548-3746

Conference

Conference	46th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2003
Country/Territory	Egypt
City	Cairo
Period	12/27/03 → 12/30/03

Keywords

AC drives
Feedback liberalization
Neural Network Control
Neural Network Identification

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

Access to Document

10.1109/MWSCAS.2003.1562476

Cite this

NEURAL NETWORK CONTROL SCHEMES FOR INDUCTION MOTOR DRIVE SYSTEMS. / Abd El-Halim, Ahmed F.; Yousef, Hasan A.; El-Genaidy, Medhat M.
Midwest Symposium on Circuits and Systems. ed. / Nadder Hamdy. Institute of Electrical and Electronics Engineers Inc., 2003. p. 1055-1058 (Midwest Symposium on Circuits and Systems; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abd El-Halim, AF, Yousef, HA & El-Genaidy, MM 2003, NEURAL NETWORK CONTROL SCHEMES FOR INDUCTION MOTOR DRIVE SYSTEMS. in N Hamdy (ed.), Midwest Symposium on Circuits and Systems. Midwest Symposium on Circuits and Systems, vol. 3, Institute of Electrical and Electronics Engineers Inc., pp. 1055-1058, 46th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2003, Cairo, Egypt, 12/27/03. https://doi.org/10.1109/MWSCAS.2003.1562476

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title = "NEURAL NETWORK CONTROL SCHEMES FOR INDUCTION MOTOR DRIVE SYSTEMS",

abstract = "This paper presents three control schemes for induction motor drive. The first scheme is the model reference neural network controller for field oriented induction motor model The second scheme uses a simplified induction motor model along with the model reference neural network controller and after that the same controller will be applied for the field oriented induction motor model to show the validity of the simplified model. The third scheme relies on input-output feedback linearization neural network control. Simulation results for the three control schemes are given to show the effectiveness of the proposed controllers.",

keywords = "AC drives, Feedback liberalization, Neural Network Control, Neural Network Identification",

author = "{Abd El-Halim}, {Ahmed F.} and Yousef, {Hasan A.} and El-Genaidy, {Medhat M.}",

note = "Publisher Copyright: {\textcopyright} 2004 IEEE.; 46th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2003 ; Conference date: 27-12-2003 Through 30-12-2003",

year = "2003",

doi = "10.1109/MWSCAS.2003.1562476",

language = "English",

series = "Midwest Symposium on Circuits and Systems",

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PY - 2003

Y1 - 2003

N2 - This paper presents three control schemes for induction motor drive. The first scheme is the model reference neural network controller for field oriented induction motor model The second scheme uses a simplified induction motor model along with the model reference neural network controller and after that the same controller will be applied for the field oriented induction motor model to show the validity of the simplified model. The third scheme relies on input-output feedback linearization neural network control. Simulation results for the three control schemes are given to show the effectiveness of the proposed controllers.

AB - This paper presents three control schemes for induction motor drive. The first scheme is the model reference neural network controller for field oriented induction motor model The second scheme uses a simplified induction motor model along with the model reference neural network controller and after that the same controller will be applied for the field oriented induction motor model to show the validity of the simplified model. The third scheme relies on input-output feedback linearization neural network control. Simulation results for the three control schemes are given to show the effectiveness of the proposed controllers.

KW - AC drives

KW - Feedback liberalization

KW - Neural Network Control

KW - Neural Network Identification

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M3 - Conference contribution

AN - SCOPUS:72449209972

T3 - Midwest Symposium on Circuits and Systems

SP - 1055

EP - 1058

BT - Midwest Symposium on Circuits and Systems

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PB - Institute of Electrical and Electronics Engineers Inc.

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NEURAL NETWORK CONTROL SCHEMES FOR INDUCTION MOTOR DRIVE SYSTEMS

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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