Study on double motor synchronous system of neural network control

Xingqiao Liu; Chong Chen; Xiuwen Liang; Jianqun Hu; Yangbiao Liu

doi:10.1504/IJMIC.2009.027892

Study on double motor synchronous system of neural network control

Xingqiao Liu^*
, Chong Chen
, Xiuwen Liang
, Jianqun Hu
, Yangbiao Liu

^*Corresponding author for this work

Jiangsu University

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

Taking the multi-variable, non-linear, strong-coupling, of synchronisation control 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 double motor synchronous system 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 double motor synchronous system is decoupled, which is based on neural network control.

Original language	English
Pages (from-to)	376-381
Number of pages	6
Journal	International Journal of Modelling, Identification and Control
Volume	7
Issue number	4
DOIs	https://doi.org/10.1504/IJMIC.2009.027892
Publication status	Published - 2009
Externally published	Yes

Keywords

Control
Decoupling control
Identification
Modelling
Neural network
Speed
Tension
Two-motor synchronous system

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10.1504/IJMIC.2009.027892

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

abstract = "Taking the multi-variable, non-linear, strong-coupling, of synchronisation control 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 double motor synchronous system 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 double motor synchronous system is decoupled, which is based on neural network control.",

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

author = "Xingqiao Liu and Chong Chen and Xiuwen Liang and Jianqun Hu and Yangbiao Liu",

year = "2009",

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journal = "International Journal of Modelling, Identification and Control",

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T1 - Study on double motor synchronous system of neural network control

AU - Liu, Xingqiao

AU - Chen, Chong

AU - Liang, Xiuwen

AU - Hu, Jianqun

AU - Liu, Yangbiao

PY - 2009

Y1 - 2009

N2 - Taking the multi-variable, non-linear, strong-coupling, of synchronisation control 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 double motor synchronous system 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 double motor synchronous system is decoupled, which is based on neural network control.

AB - Taking the multi-variable, non-linear, strong-coupling, of synchronisation control 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 double motor synchronous system 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 double motor synchronous system is decoupled, which is based on neural network control.

KW - Control

KW - Decoupling control

KW - Identification

KW - Modelling

KW - Neural network

KW - Speed

KW - Tension

KW - Two-motor synchronous system

UR - https://www.scopus.com/pages/publications/68949196728

U2 - 10.1504/IJMIC.2009.027892

DO - 10.1504/IJMIC.2009.027892

M3 - Article

AN - SCOPUS:68949196728

SN - 1746-6172

VL - 7

SP - 376

EP - 381

JO - International Journal of Modelling, Identification and Control

JF - International Journal of Modelling, Identification and Control

IS - 4

ER -

Study on double motor synchronous system of neural network control

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Keywords

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