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Decentralised Control Optimisation for a Glass Furnace by SGA’s

Rajarathinam, K, Gomm, JB, Jones, KO and Abdelhadi, AS (2014) Decentralised Control Optimisation for a Glass Furnace by SGA’s. In: ACM International Conference Proceeding Series , 883. pp. 248-255. (Computer Systems and Technologies, CompSysTech 2014, 27 June 2014 - 28 June 2014, University of Ruse, Bulgaria).

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In this paper, the potential of standard genetic algorithms (SGAs) are presented to optimise the discrete PID parameters for multivariable glass furnace. Control oriented models of each multivariable glass furnace; glass temperature and excess oxygen are used to optimise the discrete controller with personalised cost function and adjusted boundaries by SGAs, individually. Well optimised discrete PID parameters by control oriented model are applied to realistic multivariable model by decentralised method.

Item Type: Conference or Workshop Item (Paper)
Additional Information: © ACM 2014. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM International Conference Proceeding Series, http://dx.doi.org/10.1145/2659532.2659614.
Uncontrolled Keywords: Genetic Algorithms; Discrete Control Optimisation; Decentralised Control
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Electronics & Electrical Engineering (merged with Engineering 10 Aug 20)
Publisher: ACM
Date Deposited: 02 Sep 2016 09:22
Last Modified: 13 Apr 2022 15:14
Editors: Rachev, B and Smrikarov, A
URI: https://researchonline.ljmu.ac.uk/id/eprint/4074
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