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
Source: 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
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