Development of level controllers based on fuzzy logic
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This paper describes the development of different kinds \nof level controllers based on fuzzy logic. Designs and \nimplementations were carried out using tools from \nxfuzzy, a development environment that eases the \ndifferent stages in the design of fuzzy inference systems. \nSpecial emphasis has been put in the on-line verification \nof the controller over a physical plant by means of xflab \ntool. Different approaches of the knowledge base were \ntested using xflab. Then, the results were analyzed and \nselected those that gave the better performance. \nControllers implementations with different number of bit \nfor input / output resolution were also carried out and \nanalyzed. The results provide a base for the incoming \ndevelopment of a hardware fuzzy logic controller by \nmeans of specific hardware or by an embedded codesign \nsystem.
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This paper describes the development of different kinds \nof level controllers based on fuzzy logic. Designs and \nimplementations were carried out using tools from \nxfuzzy, a development environment that eases the \ndifferent stages in the design of fuzzy inference systems. \nSpecial emphasis has been put in the on-line verification \nof the controller over a physical plant by means of xflab \ntool. Different approaches of the knowledge base were \ntested using xflab. Then, the results were analyzed and \nselected those that gave the better performance. \nControllers implementations with different number of bit \nfor input / output resolution were also carried out and \nanalyzed. The results provide a base for the incoming \ndevelopment of a hardware fuzzy logic controller by \nmeans of specific hardware or by an embedded codesign \nsystem.
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