A novel iterative learning control method and control system design for active magnetic bearing rotor imbalance of primary helium circulator in high-temperature gas-cooled reactor

As one of the key technologies of high-temperature gas-cooled reactor, primary helium circulator–equipped active magnetic bearing provides driving force for primary helium cooling system. However, repetitive periodic vibration produced by rotor imbalance may introduce risks to primary helium circula...

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Main Authors: Yangbo Zheng, Xingnan Liu, Jingjing Zhao, Ni Mo, Zhengang Shi
Format: Article
Language:English
Published: SAGE Publishing 2020-03-01
Series:Measurement + Control
Online Access:https://doi.org/10.1177/0020294019895300
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author Yangbo Zheng
Xingnan Liu
Jingjing Zhao
Ni Mo
Zhengang Shi
author_facet Yangbo Zheng
Xingnan Liu
Jingjing Zhao
Ni Mo
Zhengang Shi
author_sort Yangbo Zheng
collection DOAJ
description As one of the key technologies of high-temperature gas-cooled reactor, primary helium circulator–equipped active magnetic bearing provides driving force for primary helium cooling system. However, repetitive periodic vibration produced by rotor imbalance may introduce risks to primary helium circulator (even for high-temperature gas-cooled reactors). First, this article analyzes a periodic component extraction algorithm which is widely used in active magnetic bearing rotor unbalance control methods and points out the problem that the periodic component extraction algorithm occupies numerous computing resources which cannot satisfy the real-time request of active magnetic bearing control system. Then, a novel iterative learning control algorithm based on the iteration before last iteration of system information (iterative learning control-2) and a plug-in parallel control mechanism based on the existing control system are put forward, meanwhile, an integrated independent distributed active magnetic bearing control system is designed to solve the problem. Finally, both the simulation and experiment are carried out, respectively. The corresponding results show that the control method and control system proposed in this article have significant suppression effect on the repetitive periodic vibration of the active magnetic bearing system without degrading the real-time requirement and can provide important technical support for the safe and stable operation of the primary helium circulator in high-temperature gas-cooled reactor.
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spelling doaj.art-24bfbb2f53014d49a098d8cabdbea3922022-12-22T04:32:07ZengSAGE PublishingMeasurement + Control0020-29402020-03-015310.1177/0020294019895300A novel iterative learning control method and control system design for active magnetic bearing rotor imbalance of primary helium circulator in high-temperature gas-cooled reactorYangbo Zheng0Xingnan Liu1Jingjing Zhao2Ni Mo3Zhengang Shi4The Key Laboratory of Advanced Reactor Engineering and Safety, Ministry of Education, Beijing, ChinaThe Key Laboratory of Advanced Reactor Engineering and Safety, Ministry of Education, Beijing, ChinaThe Key Laboratory of Advanced Reactor Engineering and Safety, Ministry of Education, Beijing, ChinaThe Key Laboratory of Advanced Reactor Engineering and Safety, Ministry of Education, Beijing, ChinaThe Key Laboratory of Advanced Reactor Engineering and Safety, Ministry of Education, Beijing, ChinaAs one of the key technologies of high-temperature gas-cooled reactor, primary helium circulator–equipped active magnetic bearing provides driving force for primary helium cooling system. However, repetitive periodic vibration produced by rotor imbalance may introduce risks to primary helium circulator (even for high-temperature gas-cooled reactors). First, this article analyzes a periodic component extraction algorithm which is widely used in active magnetic bearing rotor unbalance control methods and points out the problem that the periodic component extraction algorithm occupies numerous computing resources which cannot satisfy the real-time request of active magnetic bearing control system. Then, a novel iterative learning control algorithm based on the iteration before last iteration of system information (iterative learning control-2) and a plug-in parallel control mechanism based on the existing control system are put forward, meanwhile, an integrated independent distributed active magnetic bearing control system is designed to solve the problem. Finally, both the simulation and experiment are carried out, respectively. The corresponding results show that the control method and control system proposed in this article have significant suppression effect on the repetitive periodic vibration of the active magnetic bearing system without degrading the real-time requirement and can provide important technical support for the safe and stable operation of the primary helium circulator in high-temperature gas-cooled reactor.https://doi.org/10.1177/0020294019895300
spellingShingle Yangbo Zheng
Xingnan Liu
Jingjing Zhao
Ni Mo
Zhengang Shi
A novel iterative learning control method and control system design for active magnetic bearing rotor imbalance of primary helium circulator in high-temperature gas-cooled reactor
Measurement + Control
title A novel iterative learning control method and control system design for active magnetic bearing rotor imbalance of primary helium circulator in high-temperature gas-cooled reactor
title_full A novel iterative learning control method and control system design for active magnetic bearing rotor imbalance of primary helium circulator in high-temperature gas-cooled reactor
title_fullStr A novel iterative learning control method and control system design for active magnetic bearing rotor imbalance of primary helium circulator in high-temperature gas-cooled reactor
title_full_unstemmed A novel iterative learning control method and control system design for active magnetic bearing rotor imbalance of primary helium circulator in high-temperature gas-cooled reactor
title_short A novel iterative learning control method and control system design for active magnetic bearing rotor imbalance of primary helium circulator in high-temperature gas-cooled reactor
title_sort novel iterative learning control method and control system design for active magnetic bearing rotor imbalance of primary helium circulator in high temperature gas cooled reactor
url https://doi.org/10.1177/0020294019895300
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