Particle Swarm Based Approach of a Real-Time Discrete Neural Identifier for Linear Induction Motors

被引：5

作者：

Alanis, Alma Y. ^{[1
]}

Rangel, E. ^{[1
]}

Rivera, J. ^{[1
]}

Arana-Daniel, N. ^{[1
]}

Lopez-Franco, C. ^{[1
]}

机构：

[1] Univ Guadalajara, CUCEI, Zapopan, Jalisco, Mexico

来源：

MATHEMATICAL PROBLEMS IN ENGINEERING | 2013年 / 2013卷

关键词：

NONLINEAR CONTROL; SYSTEMS;

D O I：

10.1155/2013/715094

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper focusses on a discrete-time neural identifier applied to a linear induction motor (LIM) model, whose model is assumed to be unknown. This neural identifier is robust in presence of external and internal uncertainties. The proposed scheme is based on a discrete-time recurrent high-order neural network (RHONN) trained with a novel algorithm based on extended Kalman filter (EKF) and particle swarm optimization (PSO), using an online series-parallel configuration. Real-time results are included in order to illustrate the applicability of the proposed scheme.

引用

页数：9

共 28 条

[1]

Al-kazemi B, 2002, IEEE C EVOL COMPUTAT, P489, DOI 10.1109/CEC.2002.1006283

[2] Discrete-time adaptive backstepping nonlinear control via high-order neural networks [J].

Alanis, Alma Y. ;

Sanchez, Edgar N. ;

Loukianov, Alexander G. .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 2007, 18 (04) :1185-1195

[3] Real-Time Discrete Neural Block Control Using Sliding Modes for Electric Induction Motors [J].

Alanis, Alma Y. ;

Sanchez, Edgar N. ;

Loukianov, Alexander G. ;

Perez-Cisneros, Marco A. .

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2010, 18 (01) :11-21

[4]

[Anonymous], 2004, Kalman filtering and neural networks

[5]

Benitez VH, 2003, P AMER CONTR CONF, P4041

[6]

Boldea I., 1997, LINEAR ELECT ACTUATO

[7] Adapting modularity during learning in cooperative co-evolutionary recurrent neural networks [J].

Chandra, Rohitash ;

Frean, Marcus ;

Zhang, Mengjie .

SOFT COMPUTING, 2012, 16 (06) :1009-1020

[8]

Clerc M., P C EV COMP, V1, P1951

[9] A novel two-stage hybrid swarm intelligence optimization algorithm and application [J].

Deng, Wu ;

Chen, Rong ;

He, Bing ;

Liu, Yaqing ;

Yin, Lifeng ;

Guo, Jinghuan .

SOFT COMPUTING, 2012, 16 (10) :1707-1722

[10] Adaptive neural network control for a class of MIMO nonlinear systems with disturbances in discrete-time [J].

Ge, SS ;

Zhang, J ;

Lee, TH .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2004, 34 (04) :1630-1645

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