Design of PID temperature control system based on fuzzy control with dynamically optimized integral limits

Abstract Aiming at the problem of over-temperature in high-temperature even-heat furnaces, a fuzzy control dynamic optimization integral limit PID temperature control method is proposed. First of all, we analyze the reasons for the over-temperature phenomenon in the homogenous furnace and put forward the integral limiting solution for the causes of over-temperature. Although the integral limit can solve the phenomenon of over-temperature, it leads to longer heating time. In view of the above problems, combined with the characteristics of fuzzy control, a control method based on fuzzy control to dynamically adjust the integral limit is proposed to reduce the over-temperature and shorten the adjustment time.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-05-01
DOI
https://doi.org/10.1088/1742-6596/3018/1/012023
Primary Topic
Advanced Sensor and Control Systems
Type
article
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article

Design of PID temperature control system based on fuzzy control with dynamically optimized integral limits

Jingkui Zhang, B Jiang
Journal of Physics Conference Series
Advanced Sensor and Control Systems
article

Design of PID temperature control system based on fuzzy control with dynamically optimized integral limits

Jingkui Zhang, B Jiang
article en

Abstract

Abstract Aiming at the problem of over-temperature in high-temperature even-heat furnaces, a fuzzy control dynamic optimization integral limit PID temperature control method is proposed. First of all, we analyze the reasons for the over-temperature phenomenon in the homogenous furnace and put forward the integral limiting solution for the causes of over-temperature. Although the integral limit can solve the phenomenon of over-temperature, it leads to longer heating time. In view of the above problems, combined with the characteristics of fuzzy control, a control method based on fuzzy control to dynamically adjust the integral limit is proposed to reduce the over-temperature and shorten the adjustment time.

Journal of Physics Conference SeriesVol. 3018(1)
Shanghai University of Electric Power (CN)
Openalex Percentile: Top 87%
Advanced Sensor and Control Systems
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Design of PID temperature control system based on fuzzy control with dynamically optimized integral limits — Jingkui Zhang, B Jiang · Journal of Physics Conference Series (2025) | TGRS Research Map | TGRS