Multi motor neural PID relative coupling speed synchronous control

When the traditional multi-motor speed synchronous control strategy is applied to the vacuum pump system, it is prone to the drawbacks of large synchronization error. In this paper, a simplified mathematical model of the motor for a vacuum pump is established and the transfer function is introduced,...

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Main Authors: Yonglong Zhang, Yuejun An, Guangyu Wang, Xiangling Kong
Format: Article
Language:English
Published: Polish Academy of Sciences 2020-03-01
Series:Archives of Electrical Engineering
Subjects:
Online Access:https://journals.pan.pl/dlibra/publication/131759/edition/115089/content
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spelling doaj-1c83e27f9293431d853a2a81903e17182020-11-25T03:33:37ZengPolish Academy of SciencesArchives of Electrical Engineering2300-25062020-03-01691698810.24425/aee.2020.131759Multi motor neural PID relative coupling speed synchronous controlYonglong Zhang0 Yuejun An1Guangyu Wang2Xiangling Kong3School of Electrical Engineering Shenyang University of Technology Shenyang, 110870, ChinaSchool of Electrical Engineering Shenyang University of Technology Shenyang, 110870, ChinaVacuum Dry Pump Business Division SKY Technology Development Co. Ltd Chinese Academy of Sciences Shenyang, 110179, ChinaVacuum Dry Pump Business Division SKY Technology Development Co. Ltd Chinese Academy of Sciences Shenyang, 110179, ChinaWhen the traditional multi-motor speed synchronous control strategy is applied to the vacuum pump system, it is prone to the drawbacks of large synchronization error. In this paper, a simplified mathematical model of the motor for a vacuum pump is established and the transfer function is introduced, which weakens the multivariable, strong coupling and nonlinear characteristics of the motor system. According to the basic principle of the relative coupling control strategy, the neural network Proportion Integration Differentiation (PID) is introduced as a speed compensator in this system. It effectively improves the synchronization and anti-interference ability of the multi motor.https://journals.pan.pl/dlibra/publication/131759/edition/115089/contentfuzzy controlmulti motor synchronous controlneural pidrelative couplingcontrol
collection DOAJ
language English
format Article
sources DOAJ
author Yonglong Zhang
Yuejun An
Guangyu Wang
Xiangling Kong
spellingShingle Yonglong Zhang
Yuejun An
Guangyu Wang
Xiangling Kong
Multi motor neural PID relative coupling speed synchronous control
Archives of Electrical Engineering
fuzzy control
multi motor synchronous control
neural pid
relative couplingcontrol
author_facet Yonglong Zhang
Yuejun An
Guangyu Wang
Xiangling Kong
author_sort Yonglong Zhang
title Multi motor neural PID relative coupling speed synchronous control
title_short Multi motor neural PID relative coupling speed synchronous control
title_full Multi motor neural PID relative coupling speed synchronous control
title_fullStr Multi motor neural PID relative coupling speed synchronous control
title_full_unstemmed Multi motor neural PID relative coupling speed synchronous control
title_sort multi motor neural pid relative coupling speed synchronous control
publisher Polish Academy of Sciences
series Archives of Electrical Engineering
issn 2300-2506
publishDate 2020-03-01
description When the traditional multi-motor speed synchronous control strategy is applied to the vacuum pump system, it is prone to the drawbacks of large synchronization error. In this paper, a simplified mathematical model of the motor for a vacuum pump is established and the transfer function is introduced, which weakens the multivariable, strong coupling and nonlinear characteristics of the motor system. According to the basic principle of the relative coupling control strategy, the neural network Proportion Integration Differentiation (PID) is introduced as a speed compensator in this system. It effectively improves the synchronization and anti-interference ability of the multi motor.
topic fuzzy control
multi motor synchronous control
neural pid
relative couplingcontrol
url https://journals.pan.pl/dlibra/publication/131759/edition/115089/content
work_keys_str_mv AT yonglongzhang multimotorneuralpidrelativecouplingspeedsynchronouscontrol
AT yuejunan multimotorneuralpidrelativecouplingspeedsynchronouscontrol
AT guangyuwang multimotorneuralpidrelativecouplingspeedsynchronouscontrol
AT xianglingkong multimotorneuralpidrelativecouplingspeedsynchronouscontrol
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