Acquisition of PID gain tuning rules for hot strip looper control

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.