Three-motor synchronous decoupling control based on BP neural network

Xingqiao Liu; Xiangmei Zhang; Jianqun Hu; Yang Liu; Guohai Liu; Liang Zhao

doi:10.1109/CCDC.2009.5195072

Three-motor synchronous decoupling control based on BP neural network

Xingqiao Liu^*, Xiangmei Zhang, Jianqun Hu, Yang Liu, Guohai Liu, Liang Zhao

^*Corresponding author for this work

Jiangsu University

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

3 Citations (Scopus)

Abstract

A synchronous control system for three-motor is presented in this paper. The control system includes three intelligent PID controllers based on BP neural network arithmetic which adjusts the parameters of PID controllers on-line, and neuron decoupling compensator fulfilling open loop decoupling of multi-variable. The results of experiment indicates that the control system can get some optimal parameters of the PID controllers according to different running state of system, and has better performances of dynamic and static status comparing to traditional PID, and realizes the better decoupling control of speed and tension in the system.

Original language	English
Title of host publication	2009 Chinese Control and Decision Conference, CCDC 2009
Pages	5365-5368
Number of pages	4
DOIs	https://doi.org/10.1109/CCDC.2009.5195072
Publication status	Published - 2009
Externally published	Yes
Event	2009 Chinese Control and Decision Conference, CCDC 2009 - Guilin, China Duration: 17 Jun 2009 → 19 Jun 2009

Publication series

Name	2009 Chinese Control and Decision Conference, CCDC 2009

Conference

Conference	2009 Chinese Control and Decision Conference, CCDC 2009
Country/Territory	China
City	Guilin
Period	17/06/09 → 19/06/09

Keywords

BP neural network
Decoupling control
Neuron decoupling
Synchronous control system

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10.1109/CCDC.2009.5195072

Cite this

@inproceedings{2aa94e5028ee478ba546ab966682f1f7,

title = "Three-motor synchronous decoupling control based on BP neural network",

abstract = "A synchronous control system for three-motor is presented in this paper. The control system includes three intelligent PID controllers based on BP neural network arithmetic which adjusts the parameters of PID controllers on-line, and neuron decoupling compensator fulfilling open loop decoupling of multi-variable. The results of experiment indicates that the control system can get some optimal parameters of the PID controllers according to different running state of system, and has better performances of dynamic and static status comparing to traditional PID, and realizes the better decoupling control of speed and tension in the system.",

keywords = "BP neural network, Decoupling control, Neuron decoupling, Synchronous control system",

author = "Xingqiao Liu and Xiangmei Zhang and Jianqun Hu and Yang Liu and Guohai Liu and Liang Zhao",

year = "2009",

doi = "10.1109/CCDC.2009.5195072",

language = "English",

isbn = "9781424427239",

series = "2009 Chinese Control and Decision Conference, CCDC 2009",

pages = "5365--5368",

booktitle = "2009 Chinese Control and Decision Conference, CCDC 2009",

note = "2009 Chinese Control and Decision Conference, CCDC 2009 ; Conference date: 17-06-2009 Through 19-06-2009",

}

Liu, X, Zhang, X, Hu, J, Liu, Y, Liu, G & Zhao, L 2009, Three-motor synchronous decoupling control based on BP neural network. in 2009 Chinese Control and Decision Conference, CCDC 2009., 5195072, 2009 Chinese Control and Decision Conference, CCDC 2009, pp. 5365-5368, 2009 Chinese Control and Decision Conference, CCDC 2009, Guilin, China, 17/06/09. https://doi.org/10.1109/CCDC.2009.5195072

Three-motor synchronous decoupling control based on BP neural network. / Liu, Xingqiao; Zhang, Xiangmei; Hu, Jianqun et al.
2009 Chinese Control and Decision Conference, CCDC 2009. 2009. p. 5365-5368 5195072 (2009 Chinese Control and Decision Conference, CCDC 2009).

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

TY - GEN

T1 - Three-motor synchronous decoupling control based on BP neural network

AU - Liu, Xingqiao

AU - Zhang, Xiangmei

AU - Hu, Jianqun

AU - Liu, Yang

AU - Liu, Guohai

AU - Zhao, Liang

PY - 2009

Y1 - 2009

N2 - A synchronous control system for three-motor is presented in this paper. The control system includes three intelligent PID controllers based on BP neural network arithmetic which adjusts the parameters of PID controllers on-line, and neuron decoupling compensator fulfilling open loop decoupling of multi-variable. The results of experiment indicates that the control system can get some optimal parameters of the PID controllers according to different running state of system, and has better performances of dynamic and static status comparing to traditional PID, and realizes the better decoupling control of speed and tension in the system.

AB - A synchronous control system for three-motor is presented in this paper. The control system includes three intelligent PID controllers based on BP neural network arithmetic which adjusts the parameters of PID controllers on-line, and neuron decoupling compensator fulfilling open loop decoupling of multi-variable. The results of experiment indicates that the control system can get some optimal parameters of the PID controllers according to different running state of system, and has better performances of dynamic and static status comparing to traditional PID, and realizes the better decoupling control of speed and tension in the system.

KW - BP neural network

KW - Decoupling control

KW - Neuron decoupling

KW - Synchronous control system

UR - http://www.scopus.com/inward/record.url?scp=70449449679&partnerID=8YFLogxK

U2 - 10.1109/CCDC.2009.5195072

DO - 10.1109/CCDC.2009.5195072

M3 - Conference contribution

AN - SCOPUS:70449449679

SN - 9781424427239

T3 - 2009 Chinese Control and Decision Conference, CCDC 2009

SP - 5365

EP - 5368

BT - 2009 Chinese Control and Decision Conference, CCDC 2009

T2 - 2009 Chinese Control and Decision Conference, CCDC 2009

Y2 - 17 June 2009 through 19 June 2009

ER -

Three-motor synchronous decoupling control based on BP neural network

Abstract

Publication series

Conference

Keywords

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