Han, Y.Wang, Z.Chen, Q.Tan, S.ELECTRICAL ENGINEERING2014-06-172014-06-171997-04Han, Y.,Wang, Z.,Chen, Q.,Tan, S. (1997-04). Artificial-neural-network-based fast valving control in a power-generation system. Engineering Applications of Artificial Intelligence 10 (2) : 139-155. ScholarBank@NUS Repository.09521976https://scholarbank.nus.edu.sg/handle/10635/61865This paper presents an artificial-neural-network-based controller to realize fast valving in a power-generation plant. A backpropagation algorithm is used to train the feedforward neural-network controller. The hardware implementation and the test results of the controller on a physical pilot-scale power system set-up are described in detail. Compared with some conventional fast valving methods applied to the same system, test results (both in a computer simulation and on a physical pilot-scale power system set-up) show that the neural-network controller has quite satisfactory generalisation capability, feasibility and reliability, as well as accuracy. © 1997 Elsevier Science Ltd. All rights reserved.Artificial neural networksBackpropagation algorithmFast valvingHardware implementationPilot-scale power systems set-upsPower-generation systemsTransient stabilityArticleNOT_IN_WOS