Knowledge based simulation for process monitoring and regulatory control

Abstract

A knowledge-based simulation is described for the monitoring and regulatory control of a juice purification process in cane sugar production. In the paper, the problem description is analysed and a set of requirements are identified. To meet these requirements, a scheme is presented that organises the domain knowledge into suitable structured modules, such as object classes, libraries, rule sets, rules, instance objects etc. A number of user interface facilities are developed to monitor and exercise the application, such as tuning the PID regulators, fault diagnosis, restoring the normal status, etc. Two scenarios are described to explain the remedial operations carried out when a regulator is out of tune or faulty, or when a valve is stuck. The system can be used with the actual process in a sugar factory or with other similar process control applications. >