Boiler Combustion Control System Based on Model Reference Neural Network
DONG Xiu-cheng,(School of Electrical and Information Engineering, Xihua University, Chengdu 610039 China)
It is difficult to have good performance for a chain boiler combustion control system due to large delay time, varying coal's quality and steam load. A neural network identification method for nonlinear system's delay time is discussed. Using the abrupt mutation resulted from the training error sum square of the real output and the expected output of the network, this method changes the input sample period of the neural network so that it can discriminate the delay time of the nonlinear model. Combining the discrimination of neural network system with long time delay and the control method based on model reference, it can be applied to control the nonlinear long delay time system with variable parameters or unknown delay time. The results obtained from the simulation with a 10t/h chain boiler model show that it has much advantage in better celerity and robustness.
【CateGory Index】： TP273;TP183