Next Article in Journal
Carbon Reduction Countermeasure from a System Perspective for the Electricity Sector of Yangtze River Delta (China) by an Extended Logarithmic Mean Divisia Index (LMDI)
Next Article in Special Issue
Methodology for Certification-Compliant Effect-Chain Modeling
Previous Article in Journal
Probabilistic Modelling of System Capabilities in Operations
Previous Article in Special Issue
Proposing a Small-Scale Digital Twin Implementation Framework for Manufacturing from a Systems Perspective
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Systems
Volume 11
Issue 3
10.3390/systems11030116
systems-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Optimizing Ultra-High Vacuum Control in Electron Storage Rings Using Fuzzy Control and Estimation of Pumping Speed by Neural Networks with Molflow+

by
Soontaree Seangsri
1,
Thanasak Wanglomklang
2,
Nopparut Khaewnak
3,
Nattawat Yachum
4 and
Jiraphon Srisertpol
2,*
1
Mechatronics Engineering Program, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand
2
School of Mechanical Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand
3
School of Mechatronics Engineering, Rajamangala University of Technology Tawan-ok, Chonburi 20110, Thailand
4
Synchrotron Light Research Institute, Nakhon Ratchasima 30000, Thailand
*
Author to whom correspondence should be addressed.
Systems 2023, 11(3), 116; https://doi.org/10.3390/systems11030116
Submission received: 18 January 2023 / Revised: 18 February 2023 / Accepted: 21 February 2023 / Published: 23 February 2023
(This article belongs to the Special Issue Model-Based Systems Engineering: From Design to Practical Systems Engineering)
Browse Figures
Versions Notes

Abstract

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 10−9 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.
Keywords: ultra-high vacuum; sputter-ion vacuum pump; pumping speed; fuzzy; artificial neural network; Molflow+ ultra-high vacuum; sputter-ion vacuum pump; pumping speed; fuzzy; artificial neural network; Molflow+

Share and Cite

MDPI and ACS Style

Seangsri, S.; Wanglomklang, T.; Khaewnak, N.; Yachum, N.; Srisertpol, J. Optimizing Ultra-High Vacuum Control in Electron Storage Rings Using Fuzzy Control and Estimation of Pumping Speed by Neural Networks with Molflow+. Systems 2023, 11, 116. https://doi.org/10.3390/systems11030116

AMA Style

Seangsri S, Wanglomklang T, Khaewnak N, Yachum N, Srisertpol J. Optimizing Ultra-High Vacuum Control in Electron Storage Rings Using Fuzzy Control and Estimation of Pumping Speed by Neural Networks with Molflow+. Systems. 2023; 11(3):116. https://doi.org/10.3390/systems11030116

Chicago/Turabian Style

Seangsri, Soontaree, Thanasak Wanglomklang, Nopparut Khaewnak, Nattawat Yachum, and Jiraphon Srisertpol. 2023. "Optimizing Ultra-High Vacuum Control in Electron Storage Rings Using Fuzzy Control and Estimation of Pumping Speed by Neural Networks with Molflow+" Systems 11, no. 3: 116. https://doi.org/10.3390/systems11030116

APA Style

Seangsri, S., Wanglomklang, T., Khaewnak, N., Yachum, N., & Srisertpol, J. (2023). Optimizing Ultra-High Vacuum Control in Electron Storage Rings Using Fuzzy Control and Estimation of Pumping Speed by Neural Networks with Molflow+. Systems, 11(3), 116. https://doi.org/10.3390/systems11030116

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop