Identification and control for a chain boiler combustion system based on neural networks

Xiucheng Dong; Qiang Xu

doi:10.1117/12.521941

2 September 2003 Identification and control for a chain boiler combustion system based on neural networks

Xiucheng Dong, Qiang Xu

Proceedings Volume 5253, Fifth International Symposium on Instrumentation and Control Technology; (2003) https://doi.org/10.1117/12.521941
Event: Fifth International Symposium on Instrumentation and Control Technology, 2003, Beijing, China

Abstract

It is difficult to have good performance for 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 prediction, it can be applied to control the nonlinear long delay time system with variable parameters or unknown delay time. Simulating with a 10t/h chain boiler model, the results show it has much better advantage of celerity and robustness.

Citation Download Citation

Xiucheng Dong and Qiang Xu "Identification and control for a chain boiler combustion system based on neural networks", Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); https://doi.org/10.1117/12.521941

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