Modeling and Controller Designing of Drum Based on BP Neural Network

2011 
Boiler drum system is a nonlinear and strong coupling system.The traditional PID control method has these problems such as low precision control,long regulation time.A model of boiler drum system based on back propagation(BP) neural network is built,and the generalization ability of neural network model is tested.Then the optimal controller of the drum system is designed by the neural network PID based on BP neural network.Simulation results show that the BP neural network model has a better generalization ability,neural PID controller has high control precision,fast convergence and robustness advantages than traditional PID controller.
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