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Application of the fuzzy control method for level control of a hopper

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If a change of state in a process can be grasped visually using an image processing unit and the process can be controlled, it then becomes one of the advantages of the system. This is because the image processing unit can be used as a detecting element when a physical quantity in a process cannot be measured directly. However, generally, vagueness inevitably accompanies the data because the image is visual data. Thus, control methods that make the best use of the advantage of image processing have been investigated. First, the change of state in a process is detected from the image data. Fuzzy control is performed on the basis of the data to control the level of granules inside a hopper. Using the triangular type membership functions the effects of the shape of these functions, the magnitude of gains and the fuzzy reasoning methods related to the response of the process are examined. Good process responses were obtained by applying the fuzzy control method.

Affiliations: 1: Department of Mechanical Engineering, Faculty of Engineering, Yamaguchi University, Tokiwadai, Ube 755, Japan; 2: The Science University of Tokyo, Tokyo, Japan; 3: Shimadzu Co., Kyoto, Japan


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