Neural Identification and Control of a Linear Induction Motor Using an α - β Model

Victor H. Benitez; Alexander G. Loukianov; Edgar N. Sanchez

Neural Identification and Control of a Linear Induction Motor Using an α - β Model

Victor H. Benitez^*, Alexander G. Loukianov, Edgar N. Sanchez

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

18 Scopus citations

Abstract

We present a new method to control a linear induction motor (LIM) using dynamic neural networks. First, we propose a neural identifier of triangular form; this neural model has the structure of a nonlinear block contrallable form (NBC). Then, a reduced order observer is designed in order to estimate the secondary fluxes. Finally, a sliding mode control is developed to track velocity and flux magnitude. Simulations are presented to illustrate the applicability of the proposed scheme.

Original language	English
Pages (from-to)	4041-4046
Number of pages	6
Journal	Proceedings of the American Control Conference
Volume	5
State	Published - 2003
Externally published	Yes
Event	2003 American Control Conference - Denver, CO, United States Duration: 4 Jun 2003 → 6 Jun 2003

Keywords

Block control
Dynamic neural networks
Identification
Nonlinear systems
Variable structure systems

Cite this

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title = "Neural Identification and Control of a Linear Induction Motor Using an α - β Model",

abstract = "We present a new method to control a linear induction motor (LIM) using dynamic neural networks. First, we propose a neural identifier of triangular form; this neural model has the structure of a nonlinear block contrallable form (NBC). Then, a reduced order observer is designed in order to estimate the secondary fluxes. Finally, a sliding mode control is developed to track velocity and flux magnitude. Simulations are presented to illustrate the applicability of the proposed scheme.",

keywords = "Block control, Dynamic neural networks, Identification, Nonlinear systems, Variable structure systems",

author = "Benitez, {Victor H.} and Loukianov, {Alexander G.} and Sanchez, {Edgar N.}",

year = "2003",

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journal = "Proceedings of the American Control Conference",

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note = "2003 American Control Conference ; Conference date: 04-06-2003 Through 06-06-2003",

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T1 - Neural Identification and Control of a Linear Induction Motor Using an α - β Model

AU - Benitez, Victor H.

AU - Loukianov, Alexander G.

AU - Sanchez, Edgar N.

PY - 2003

Y1 - 2003

N2 - We present a new method to control a linear induction motor (LIM) using dynamic neural networks. First, we propose a neural identifier of triangular form; this neural model has the structure of a nonlinear block contrallable form (NBC). Then, a reduced order observer is designed in order to estimate the secondary fluxes. Finally, a sliding mode control is developed to track velocity and flux magnitude. Simulations are presented to illustrate the applicability of the proposed scheme.

AB - We present a new method to control a linear induction motor (LIM) using dynamic neural networks. First, we propose a neural identifier of triangular form; this neural model has the structure of a nonlinear block contrallable form (NBC). Then, a reduced order observer is designed in order to estimate the secondary fluxes. Finally, a sliding mode control is developed to track velocity and flux magnitude. Simulations are presented to illustrate the applicability of the proposed scheme.

KW - Block control

KW - Dynamic neural networks

KW - Identification

KW - Nonlinear systems

KW - Variable structure systems

UR - http://www.scopus.com/inward/record.url?scp=0142200026&partnerID=8YFLogxK

M3 - Artículo de la conferencia

AN - SCOPUS:0142200026

SN - 0743-1619

VL - 5

SP - 4041

EP - 4046

JO - Proceedings of the American Control Conference

JF - Proceedings of the American Control Conference

T2 - 2003 American Control Conference

Y2 - 4 June 2003 through 6 June 2003

ER -

Neural Identification and Control of a Linear Induction Motor Using an α - β Model

Abstract

Keywords

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