Development of a smart supervisory control system in a sugar mill crystallisation stage

This paper discusses the development of an expert advisory system designed to provide expert knowledge in the control and management of a sugar mill crystallization stage. The smart supervisory control system is fundamentally a hybrid fuzzy expert system that incorporates fuzzy logic, relational databases and process models of the cystallisation stage. The primary topic of this paper will be a description of the framework of the smart supervisory control system with focus on: (1) system architecture, and (2) process models. The models presented are a core component in the expert system framework to predict of future pan stage operating conditions.