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Artificial neural networks controlled fast valving in a power generation plant

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5 Author(s)
Yingduo Han ; Dept. of Electr. Eng., Tsinghua Univ., Beijing, China ; Lincheng Xiu ; Zhonghong Wang ; Qi Chen
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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

Published in:

IEEE Transactions on Neural Networks  (Volume:8 ,  Issue: 2 )