Abstract
In this paper, we discuss the fuzzy visual feedback control system for swirling flow melting furnace based on image processing and fuzzy theory. This system has following two blocks, one is the combustion evaluation block which evaluates the combustion condition in the furnace and the other is the manipulation value inference block which generates the manipulation value combining above combustion evaluation and temperature data in the furnace wall. In the evaluation block, we suggested to convert the physical feature extracted by image processing to the operator language which the control operator use to express the combustion condition from the slag flow image through the CCD camera. We define the two operator language, one is the conceptual operator language which is the whole expression for the combustion, for example “Good”, “Bad” “Usual” and etc., the other is the concrete operator language which is the concrete expression explaining the conceptual operator language for example “flow smoothly” “flow very well” and etc. In order to obtain the conceptual operator language from the image through the CCD, the engineers construct the image processing according to the concrete operator language, and the membership function for the physical feature extracted above processing based on the hearing and questionnaire for the operator. We named the results applying this membership function “intermediate operator language” related the concrete operator language. Finally, the conceptual operator language is obtained the fuzzy decision tree constructed by fuzzy ID3 using above intermediate language. Through the experiments, we confirmed this system is effective.
