A Smart Supervisory Control System framework for a sugar mill crystallisation stage

Dodd, Roland, Chiou, Andrew, Yu, Xing, & (2008) A Smart Supervisory Control System framework for a sugar mill crystallisation stage. In Yu, X & Lee, J (Eds.) Proceedings of the 6th IEEE International Conference on Industrial Informatics, INDIN 2008. Institute of Electrical and Electronics Engineers Inc., United States, pp. 463-468.

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Description

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 SSCS system with focus on: (1) modular design, (2) system layering, and (3) system features.

Impact and interest:

10 citations in Scopus
1 citations in Web of Science®
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ID Code: 18344
Item Type: Chapter in Book, Report or Conference volume (Conference contribution)
ORCID iD:
Broadfoot, Rossorcid.org/0000-0002-8721-6124
Measurements or Duration: 6 pages
Keywords: expert system, modelling, sugar crystallisation, supervisory control
DOI: 10.1109/INDIN.2008.4618145
Pure ID: 33567298
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Research Centres > Centre for Tropical Crops and Biocommodities
Copyright Owner: Consult author(s) regarding copyright matters
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Deposited On: 26 Feb 2009 03:03
Last Modified: 03 Mar 2024 10:12