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

Author

Dodd, R. ; Chiou, A. ; Yu, X. ; Broadfoot, R.

Author_Institution

Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, VIC

fYear

2008

fDate

13-16 July 2008

Firstpage

463

Lastpage

468

Abstract

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.

Keywords

control system synthesis; crystallisation; expert systems; fuzzy control; process control; sugar industry; dynamic inter relational process model; expert advisory system design; expert knowledge; hybrid fuzzy logic-based expert system; smart supervisory control system; sugar mill crystallisation stage; Australia; Continuous production; Control systems; Crystallization; Expert systems; Fuzzy logic; Knowledge management; Milling machines; Sugar industry; Supervisory control;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Informatics, 2008. INDIN 2008. 6th IEEE International Conference on

Conference_Location

Daejeon

ISSN

1935-4576

Print_ISBN

978-1-4244-2170-1

Electronic_ISBN

1935-4576

Type

conf

DOI

10.1109/INDIN.2008.4618145

Filename

4618145