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A Multivariable Controller For Economical Fossil Power Plant Operation

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Prasad, G, Swidenbank, E and Hogg, B W (1996) A Multivariable Controller For Economical Fossil Power Plant Operation. In: Universities Power Engineering Conference 1996, Iraklio, Greece.. Universities Power Engineering Conference 1996, Iraklio, Greece.. 4 pp. [Conference contribution]

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Abstract

To realize the most economical operation of the plant, requires the controller recognize the interaction between multiple inputs and the constraints imposed by the physical limits of the system. A model-based multivariable predictive controller with real-time constrained optimization has been designed and implemented. Artificial neural networks (ANN) modeling technique has been used for identifying global dynamic models of the plant variables. Results are given to demonstrate the superiority of the controller in controlling the main steam temperature and reheat steam temperature during rapid load changes.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:18478
Deposited By:Professor Girijesh Prasad
Deposited On:16 May 2011 11:53
Last Modified:20 May 2011 15:41

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