Acquisition of PID gain tuning rules for hot strip looper control

Yoshihiro Abe; Masami Konishi; Jun Imai

doi:10.1109/ICCAS.2007.4406896

Acquisition of PID gain tuning rules for hot strip looper control

Yoshihiro Abe, Masami Konishi, Jun Imai

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The intervention of human is unavoidable to attain high performance of electro mechanical system. Therefore, the methods and systems that have a technical substitution of expert's skilled technique, teaching and assisting the inexperienced workers are needed in industry. In this study, PID control system of a hot strip looper control system is treated. In hot strip looper control system, control parameters are to be optimized according to the rolling material, because control dynamics are greatly influenced by rolling conditions. We aimed to develop decision-making support rules to model experts based on decision-making and learning hypotheses. As the decision-making support rules like experts, a fuzzy classifier system is used. A fuzzy classifier system can generate the plural rules and select the available rules. IF-THEN expression based on fuzzy theory is used for the representation of decision-making rules.

Original language	English
Title of host publication	ICCAS 2007 - International Conference on Control, Automation and Systems
Pages	142-145
Number of pages	4
DOIs	https://doi.org/10.1109/ICCAS.2007.4406896
Publication status	Published - Dec 1 2007
Event	International Conference on Control, Automation and Systems, ICCAS 2007 - Seoul, Korea, Republic of Duration: Oct 17 2007 → Oct 20 2007

Publication series

Name	ICCAS 2007 - International Conference on Control, Automation and Systems

Other

Other	International Conference on Control, Automation and Systems, ICCAS 2007
Country	Korea, Republic of
City	Seoul
Period	10/17/07 → 10/20/07

Keywords

Fuzzy classifier system
Fuzzy rule
Gain tuning
Hot strip looper control
PID control

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

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Acquisition of PID gain tuning rules for hot strip looper control. / Abe, Yoshihiro; Konishi, Masami; Imai, Jun.

ICCAS 2007 - International Conference on Control, Automation and Systems. 2007. p. 142-145 4406896 (ICCAS 2007 - International Conference on Control, Automation and Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abe, Y, Konishi, M & Imai, J 2007, Acquisition of PID gain tuning rules for hot strip looper control. in ICCAS 2007 - International Conference on Control, Automation and Systems., 4406896, ICCAS 2007 - International Conference on Control, Automation and Systems, pp. 142-145, International Conference on Control, Automation and Systems, ICCAS 2007, Seoul, Korea, Republic of, 10/17/07. https://doi.org/10.1109/ICCAS.2007.4406896

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abstract = "The intervention of human is unavoidable to attain high performance of electro mechanical system. Therefore, the methods and systems that have a technical substitution of expert's skilled technique, teaching and assisting the inexperienced workers are needed in industry. In this study, PID control system of a hot strip looper control system is treated. In hot strip looper control system, control parameters are to be optimized according to the rolling material, because control dynamics are greatly influenced by rolling conditions. We aimed to develop decision-making support rules to model experts based on decision-making and learning hypotheses. As the decision-making support rules like experts, a fuzzy classifier system is used. A fuzzy classifier system can generate the plural rules and select the available rules. IF-THEN expression based on fuzzy theory is used for the representation of decision-making rules.",

keywords = "Fuzzy classifier system, Fuzzy rule, Gain tuning, Hot strip looper control, PID control",

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N2 - The intervention of human is unavoidable to attain high performance of electro mechanical system. Therefore, the methods and systems that have a technical substitution of expert's skilled technique, teaching and assisting the inexperienced workers are needed in industry. In this study, PID control system of a hot strip looper control system is treated. In hot strip looper control system, control parameters are to be optimized according to the rolling material, because control dynamics are greatly influenced by rolling conditions. We aimed to develop decision-making support rules to model experts based on decision-making and learning hypotheses. As the decision-making support rules like experts, a fuzzy classifier system is used. A fuzzy classifier system can generate the plural rules and select the available rules. IF-THEN expression based on fuzzy theory is used for the representation of decision-making rules.

AB - The intervention of human is unavoidable to attain high performance of electro mechanical system. Therefore, the methods and systems that have a technical substitution of expert's skilled technique, teaching and assisting the inexperienced workers are needed in industry. In this study, PID control system of a hot strip looper control system is treated. In hot strip looper control system, control parameters are to be optimized according to the rolling material, because control dynamics are greatly influenced by rolling conditions. We aimed to develop decision-making support rules to model experts based on decision-making and learning hypotheses. As the decision-making support rules like experts, a fuzzy classifier system is used. A fuzzy classifier system can generate the plural rules and select the available rules. IF-THEN expression based on fuzzy theory is used for the representation of decision-making rules.

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KW - Gain tuning

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KW - PID control

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Acquisition of PID gain tuning rules for hot strip looper control

Abstract

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Keywords

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