Knowledge-based supervisory control system of a fish processing workcell; Part I: system development

Abstract A laboratory workcell has been developed for fish cutting. The workcell, which uses a variety of sensors, actuators, and hardware for component interfacing 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 development of the supervisory control system. Development of the knowledge-based modules of the system, which employ fuzzy logic for knowledge representation and decision making, is described.