A Smart supervisory control system framework for a sugar mill crystallisation stage
conference contributionposted on 2017-12-06, 00:00 authored by Roland DoddRoland Dodd, Andrew ChiouAndrew Chiou, Xinghuo YuXinghuo Yu, Ross BroadfootRoss Broadfoot
This paper discusses the framework 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 (SSCS) is fundamentally a hybrid fuzzy logic based expert system that incorporates fuzzy logic, explanatory capabilities and dynamic interrelational process models of the crystallisation stage. The primary topic of this paper will be a description of the framework of the SSC Ssystem with focus on: (1) modular design, (2) system layering, and (3) system features.
Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)
Number of Pages6
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Place of PublicationDanvers, MA.
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External Author AffiliationsFaculty of Business and Informatics; Queensland University of Technology; RMIT University;