Study on double motor synchronous system of neural network control

Xingqiao Liu; Xiuwen Liang; Chong Chen; Feng Ji

doi:10.1109/WCICA.2008.4593201

Study on double motor synchronous system of neural network control

Xingqiao Liu^*, Xiuwen Liang, Chong Chen, Feng Ji

^*Corresponding author for this work

Jiangsu University

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

1 Citation (Scopus)

Abstract

Taking the multi-variable of synchronization system of the AC induction motors as study object, focusing on the system of induction motors powered by current-tract SPWM transducers, the mathematical model of the system of two motors is established. Combining decoupling technology of adaptive neuron decoupling compensator, RBF neural network adaptive PID controller is adopted to design the neural network controller of two-motor synchronous system. The experiment results show that the two-motor synchronous system is decoupled based on neural network control.

Original language	English
Title of host publication	Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08
Pages	1829-1833
Number of pages	5
DOIs	https://doi.org/10.1109/WCICA.2008.4593201
Publication status	Published - 2008
Externally published	Yes
Event	7th World Congress on Intelligent Control and Automation, WCICA'08 - Chongqing, China Duration: 25 Jun 2008 → 27 Jun 2008

Publication series

Name	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference	7th World Congress on Intelligent Control and Automation, WCICA'08
Country/Territory	China
City	Chongqing
Period	25/06/08 → 27/06/08

Keywords

Decoupling control
Neural network
Speed
Tension
Two-motor synchronous system

Access to Document

10.1109/WCICA.2008.4593201

Cite this

@inproceedings{96f63d9b76e34993990010c451b2a5e7,

title = "Study on double motor synchronous system of neural network control",

abstract = "Taking the multi-variable of synchronization system of the AC induction motors as study object, focusing on the system of induction motors powered by current-tract SPWM transducers, the mathematical model of the system of two motors is established. Combining decoupling technology of adaptive neuron decoupling compensator, RBF neural network adaptive PID controller is adopted to design the neural network controller of two-motor synchronous system. The experiment results show that the two-motor synchronous system is decoupled based on neural network control.",

keywords = "Decoupling control, Neural network, Speed, Tension, Two-motor synchronous system",

author = "Xingqiao Liu and Xiuwen Liang and Chong Chen and Feng Ji",

year = "2008",

doi = "10.1109/WCICA.2008.4593201",

language = "English",

isbn = "9781424421145",

series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

pages = "1829--1833",

booktitle = "Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08",

note = "7th World Congress on Intelligent Control and Automation, WCICA'08 ; Conference date: 25-06-2008 Through 27-06-2008",

}

Liu, X, Liang, X, Chen, C & Ji, F 2008, Study on double motor synchronous system of neural network control. in Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08., 4593201, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), pp. 1829-1833, 7th World Congress on Intelligent Control and Automation, WCICA'08, Chongqing, China, 25/06/08. https://doi.org/10.1109/WCICA.2008.4593201

Study on double motor synchronous system of neural network control. / Liu, Xingqiao; Liang, Xiuwen; Chen, Chong et al.
Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08. 2008. p. 1829-1833 4593201 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)).

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

TY - GEN

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AU - Liu, Xingqiao

AU - Liang, Xiuwen

AU - Chen, Chong

AU - Ji, Feng

PY - 2008

Y1 - 2008

N2 - Taking the multi-variable of synchronization system of the AC induction motors as study object, focusing on the system of induction motors powered by current-tract SPWM transducers, the mathematical model of the system of two motors is established. Combining decoupling technology of adaptive neuron decoupling compensator, RBF neural network adaptive PID controller is adopted to design the neural network controller of two-motor synchronous system. The experiment results show that the two-motor synchronous system is decoupled based on neural network control.

AB - Taking the multi-variable of synchronization system of the AC induction motors as study object, focusing on the system of induction motors powered by current-tract SPWM transducers, the mathematical model of the system of two motors is established. Combining decoupling technology of adaptive neuron decoupling compensator, RBF neural network adaptive PID controller is adopted to design the neural network controller of two-motor synchronous system. The experiment results show that the two-motor synchronous system is decoupled based on neural network control.

KW - Decoupling control

KW - Neural network

KW - Speed

KW - Tension

KW - Two-motor synchronous system

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DO - 10.1109/WCICA.2008.4593201

M3 - Conference contribution

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T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

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BT - Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08

T2 - 7th World Congress on Intelligent Control and Automation, WCICA'08

Y2 - 25 June 2008 through 27 June 2008

ER -

Study on double motor synchronous system of neural network control

Abstract

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Conference

Keywords

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