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|Title:||Artificial neural networks controlled fast valving in a power generation plant||Authors:||Han, Y.
|Keywords:||Artificial neural networks
Pilot-scale power plant setup
Power generation plant
Power system stability
|Issue Date:||1997||Citation:||Han, Y., Xiu, L., Wang, Z., Chen, Q., Tan, S. (1997). Artificial neural networks controlled fast valving in a power generation plant. IEEE Transactions on Neural Networks 8 (2) : 373-389. ScholarBank@NUS Repository. https://doi.org/10.1109/72.557689||Abstract:||This paper presents an artificial neural-network-based controller to realize the fast valving in a power generation plant. The backpropagation algorithm is used to train the feedforward neural networks controller. The hardware implementation and the test results of the controller on a physical pilot-scale power plant setup are described in detail. Compared with the conventional fast valving methods applied to the same system, test results both with the computer simulation and on a physical pilot-scale power plant setup demonstrate that the artificial neural-network controller has satisfactory generalization capability, reliability, and accuracy to be feasible for this critical control operation. © 1997 IEEE.||Source Title:||IEEE Transactions on Neural Networks||URI:||http://scholarbank.nus.edu.sg/handle/10635/61864||ISSN:||10459227||DOI:||10.1109/72.557689|
|Appears in Collections:||Staff Publications|
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