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《Ship & Ocean Engineering》 2006-05
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BP neural network-adjusting PID control and simulation for the water level in the nuclear steam generator

WANG Wang-dou ZHANG Guang-fuSchool of Naval Architecture and Power Engineering Naval University of Engineering Wuhan 430033  
Combining neural network with PID control technique,a method of BP neural network-tuning PID control for the water level control in the nuclear steam generator is proposed.The back propagation algorithm is adopted to update the weights of the neural-network.The controller parameter is on-line adjusting achieved through learning the system capability.The performance of the designed controller is demonstrated by the results of simulation.
【CateGory Index】: TL353.13
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