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