Artificial neural networks controlled fast valving in a power generation plant

Please use this identifier to cite or link to this item: https://doi.org/10.1109/72.557689

Title:	Artificial neural networks controlled fast valving in a power generation plant
Authors:	Han, Y. Xiu, L. Wang, Z. Chen, Q. Tan, S.
Keywords:	Artificial neural networks Backpropagation algorithm Fast valving Hardware implementation 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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