Artificial neural networks controlled fast valving in a power generation plant.
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.
Han
Y
Y
Dept. of Electr. Eng., Tsinghua Univ., Beijing.
Xiu
L
L
Wang
Z
Z
Chen
Q
Q
Tan
S
S