An Intelligent Supervisory Control System For A Fish Processing Workcell

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Abstract

A laboratory workcell has been developed for fish cutting. The workcell, which uses a variety of sensors, actuators, and hardware for component interface and control, operates with the help of a dedicated supervisory control system. A layered architecture has been used for the system. It has several knowledge-based modules for carrying out tasks such as workcell monitoring, controller tuning, workcell conditioning, and product quality assessment. The paper describes the workcell and the intelligent supervisory control system. Performance of the supervisory system is studied through fish cutting experiments

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Process Automation, Knowledge-Based Supervisory Control, Fuzzy Logic

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