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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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 > Intelligent Systems Research Centre|
Computer Science Research Institute
|Deposited By:||Professor Girijesh Prasad|
|Deposited On:||16 May 2011 10:53|
|Last Modified:||09 Dec 2015 10:57|
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