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Design of vacuum annealing furnace temperature control system based on GA-Fuzzy-PID algorithm

As is well known, the metal annealing process has the characteristics of heat concentration and rapid heating. Traditional vacuum annealing furnaces use PID control method, which has problems such as high temperature fluctuation, large overshoot, and long response time during the heating and heating...

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Autores principales: Meng, Jintao, Gao, Haitao, Ruan, Mixue, Guo, Hai, Zhou, Xiaojie, Zhang, Di
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686503/
https://www.ncbi.nlm.nih.gov/pubmed/38019774
http://dx.doi.org/10.1371/journal.pone.0293823
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author Meng, Jintao
Gao, Haitao
Ruan, Mixue
Guo, Hai
Zhou, Xiaojie
Zhang, Di
author_facet Meng, Jintao
Gao, Haitao
Ruan, Mixue
Guo, Hai
Zhou, Xiaojie
Zhang, Di
author_sort Meng, Jintao
collection PubMed
description As is well known, the metal annealing process has the characteristics of heat concentration and rapid heating. Traditional vacuum annealing furnaces use PID control method, which has problems such as high temperature fluctuation, large overshoot, and long response time during the heating and heating process. Based on this situation, some domestic scholars have adopted fuzzy PID control algorithm in the temperature control of vacuum annealing furnaces. Due to the fact that fuzzy rules are formulated through a large amount of on-site temperature data and experience summary, there is a certain degree of subjectivity, which cannot ensure that each rule is optimal. In response to this drawback, the author combined the technical parameters of vacuum annealing furnace equipment, The fuzzy PID temperature control of the vacuum annealing furnace is optimized using genetic algorithm. Through simulation and comparative analysis, it is concluded that the design of the fuzzy PID vacuum annealing furnace temperature control system based on GA optimization is superior to fuzzy PID and traditional PID control in terms of temperature accuracy, rise time, and overshoot control. Finally, it was verified through offline experiments that the fuzzy PID temperature control system based on GA optimization meets the annealing temperature requirements of metal workpieces and can be applied to the temperature control system of vacuum annealing furnaces.
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spelling pubmed-106865032023-11-30 Design of vacuum annealing furnace temperature control system based on GA-Fuzzy-PID algorithm Meng, Jintao Gao, Haitao Ruan, Mixue Guo, Hai Zhou, Xiaojie Zhang, Di PLoS One Research Article As is well known, the metal annealing process has the characteristics of heat concentration and rapid heating. Traditional vacuum annealing furnaces use PID control method, which has problems such as high temperature fluctuation, large overshoot, and long response time during the heating and heating process. Based on this situation, some domestic scholars have adopted fuzzy PID control algorithm in the temperature control of vacuum annealing furnaces. Due to the fact that fuzzy rules are formulated through a large amount of on-site temperature data and experience summary, there is a certain degree of subjectivity, which cannot ensure that each rule is optimal. In response to this drawback, the author combined the technical parameters of vacuum annealing furnace equipment, The fuzzy PID temperature control of the vacuum annealing furnace is optimized using genetic algorithm. Through simulation and comparative analysis, it is concluded that the design of the fuzzy PID vacuum annealing furnace temperature control system based on GA optimization is superior to fuzzy PID and traditional PID control in terms of temperature accuracy, rise time, and overshoot control. Finally, it was verified through offline experiments that the fuzzy PID temperature control system based on GA optimization meets the annealing temperature requirements of metal workpieces and can be applied to the temperature control system of vacuum annealing furnaces. Public Library of Science 2023-11-29 /pmc/articles/PMC10686503/ /pubmed/38019774 http://dx.doi.org/10.1371/journal.pone.0293823 Text en © 2023 Meng et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Meng, Jintao
Gao, Haitao
Ruan, Mixue
Guo, Hai
Zhou, Xiaojie
Zhang, Di
Design of vacuum annealing furnace temperature control system based on GA-Fuzzy-PID algorithm
title Design of vacuum annealing furnace temperature control system based on GA-Fuzzy-PID algorithm
title_full Design of vacuum annealing furnace temperature control system based on GA-Fuzzy-PID algorithm
title_fullStr Design of vacuum annealing furnace temperature control system based on GA-Fuzzy-PID algorithm
title_full_unstemmed Design of vacuum annealing furnace temperature control system based on GA-Fuzzy-PID algorithm
title_short Design of vacuum annealing furnace temperature control system based on GA-Fuzzy-PID algorithm
title_sort design of vacuum annealing furnace temperature control system based on ga-fuzzy-pid algorithm
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686503/
https://www.ncbi.nlm.nih.gov/pubmed/38019774
http://dx.doi.org/10.1371/journal.pone.0293823
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