December 2005
Intermediate to advanced
592 pages
30h 56m
English
R. Dodd[a], R. Broadfoot[b] X. Yu[a], A. Chiou[c]
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 ...
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