Optimizing Ultra-High Vacuum Control in Electron Storage Rings Using Fuzzy Control and Estimation of Pumping Speed by Neural Networks with Molflow+
This paper presents the design of a fuzzy-controller-based ultra-high vacuum pressure control system and its performance evaluation for a sputter-ion vacuum pump used in the electron storage ring at the Synchrotron Light Research Institute (Public Organization) in Thailand. The production of synchro...
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MDPI AG
2023-02-01
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Online Access: | https://www.mdpi.com/2079-8954/11/3/116 |
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author | Soontaree Seangsri Thanasak Wanglomklang Nopparut Khaewnak Nattawat Yachum Jiraphon Srisertpol |
author_facet | Soontaree Seangsri Thanasak Wanglomklang Nopparut Khaewnak Nattawat Yachum Jiraphon Srisertpol |
author_sort | Soontaree Seangsri |
collection | DOAJ |
description | This paper presents the design of a fuzzy-controller-based ultra-high vacuum pressure control system and its performance evaluation for a sputter-ion vacuum pump used in the electron storage ring at the Synchrotron Light Research Institute (Public Organization) in Thailand. The production of synchrotron light requires advanced vacuum technology to maintain stability and prevent interference of electrons in an ultra-high vacuum pressure environment of about 10<sup>−9</sup> Torr. The presence of heat and gas rupture from the pipe wall can affect the quality of the light in that area. The institute currently uses a sputter-ion vacuum pump which is costly and requires significant effort to quickly reduce pressure increases in the area. Maintaining stable vacuum pressure throughout electron motion is essential in order to ensure the quality of the light. This research demonstrates a procedure for evaluating the performance of a sputter-ion vacuum pump using a mathematical model generated by a neural network and Molflow+ software. The model is used to estimate the pumping speed of the vacuum pump and to design a fuzzy control system for the ultra-high vacuum system. The study also includes a leakage rate check for the vacuum system. |
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id | doaj.art-f9469665307e4a03b7437326f25e6f11 |
institution | Directory Open Access Journal |
issn | 2079-8954 |
language | English |
last_indexed | 2024-03-11T05:50:46Z |
publishDate | 2023-02-01 |
publisher | MDPI AG |
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series | Systems |
spelling | doaj.art-f9469665307e4a03b7437326f25e6f112023-11-17T14:10:56ZengMDPI AGSystems2079-89542023-02-0111311610.3390/systems11030116Optimizing Ultra-High Vacuum Control in Electron Storage Rings Using Fuzzy Control and Estimation of Pumping Speed by Neural Networks with Molflow+Soontaree Seangsri0Thanasak Wanglomklang1Nopparut Khaewnak2Nattawat Yachum3Jiraphon Srisertpol4Mechatronics Engineering Program, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, ThailandSchool of Mechanical Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, ThailandSchool of Mechatronics Engineering, Rajamangala University of Technology Tawan-ok, Chonburi 20110, ThailandSynchrotron Light Research Institute, Nakhon Ratchasima 30000, ThailandSchool of Mechanical Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, ThailandThis paper presents the design of a fuzzy-controller-based ultra-high vacuum pressure control system and its performance evaluation for a sputter-ion vacuum pump used in the electron storage ring at the Synchrotron Light Research Institute (Public Organization) in Thailand. The production of synchrotron light requires advanced vacuum technology to maintain stability and prevent interference of electrons in an ultra-high vacuum pressure environment of about 10<sup>−9</sup> Torr. The presence of heat and gas rupture from the pipe wall can affect the quality of the light in that area. The institute currently uses a sputter-ion vacuum pump which is costly and requires significant effort to quickly reduce pressure increases in the area. Maintaining stable vacuum pressure throughout electron motion is essential in order to ensure the quality of the light. This research demonstrates a procedure for evaluating the performance of a sputter-ion vacuum pump using a mathematical model generated by a neural network and Molflow+ software. The model is used to estimate the pumping speed of the vacuum pump and to design a fuzzy control system for the ultra-high vacuum system. The study also includes a leakage rate check for the vacuum system.https://www.mdpi.com/2079-8954/11/3/116ultra-high vacuumsputter-ion vacuum pumppumping speedfuzzyartificial neural networkMolflow+ |
spellingShingle | Soontaree Seangsri Thanasak Wanglomklang Nopparut Khaewnak Nattawat Yachum Jiraphon Srisertpol Optimizing Ultra-High Vacuum Control in Electron Storage Rings Using Fuzzy Control and Estimation of Pumping Speed by Neural Networks with Molflow+ Systems ultra-high vacuum sputter-ion vacuum pump pumping speed fuzzy artificial neural network Molflow+ |
title | Optimizing Ultra-High Vacuum Control in Electron Storage Rings Using Fuzzy Control and Estimation of Pumping Speed by Neural Networks with Molflow+ |
title_full | Optimizing Ultra-High Vacuum Control in Electron Storage Rings Using Fuzzy Control and Estimation of Pumping Speed by Neural Networks with Molflow+ |
title_fullStr | Optimizing Ultra-High Vacuum Control in Electron Storage Rings Using Fuzzy Control and Estimation of Pumping Speed by Neural Networks with Molflow+ |
title_full_unstemmed | Optimizing Ultra-High Vacuum Control in Electron Storage Rings Using Fuzzy Control and Estimation of Pumping Speed by Neural Networks with Molflow+ |
title_short | Optimizing Ultra-High Vacuum Control in Electron Storage Rings Using Fuzzy Control and Estimation of Pumping Speed by Neural Networks with Molflow+ |
title_sort | optimizing ultra high vacuum control in electron storage rings using fuzzy control and estimation of pumping speed by neural networks with molflow |
topic | ultra-high vacuum sputter-ion vacuum pump pumping speed fuzzy artificial neural network Molflow+ |
url | https://www.mdpi.com/2079-8954/11/3/116 |
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