NDLI: An intelligent controller for aluminium smelter potlines

Content Provider	IEEE Xplore Digital Library
Author	Malaviya, A. Bundell, G.A.
Copyright Year	1995
Description	Author affiliation: Inf. Syst. Eng. Res. Group, Western Australia Univ., Nedlands, WA, Australia (Malaviya, A.; Bundell, G.A.)
Abstract	The control parameters for the Hall-Heroult electrolytic process to industrially produce aluminium metals are cryolite ratio, current efficiency and heat balance which are seen to be dependent on the bath resistance. In this paper, the authors present an intelligent controller based on the bath resistance process model, using the MLIAC (Multi Level Intelligent Control) architecture. The design is targeted to improve the real-time performance of the intelligent control, i.e. through the use of a simple plant model, a priori learning, adaptation based on asynchronous parametric estimation, and an inference mechanism based on SQL like constructs, in a structured data environment. The controllers are modular, distributed, hierarchical, and well coordinated. Simulation studies, are in progress, and are expected to show it is possible to achieve higher plant productivity, and a high net energy savings with the MLIAC architecture.<>
Starting Page	55
Ending Page	60
File Size	705871
Page Count	6
File Format	PDF
ISBN	0780320816
DOI	10.1109/IACC.1995.465868
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-01-05
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Productivity Inference mechanisms Industrial control Aluminum Smelting Distributed control Temperature control Metals industry Intelligent control Resistance heating
Content Type	Text
Resource Type	Article

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