Journal of Jianghan University (Natural Science Edition) ›› 2019, Vol. 47 ›› Issue (5): 407-415.doi: 10.16389/j.cnki.cn42-1737/n.2019.05.004

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Decoupling Control of Boiler Combustion System Based on Smith Predictive Compensation RBF Neural Network

GAO Jin1,LI Yong2,ZHOU Yandi2,ZHANG Jiayan1   

  1. 1. School of Electrical and Information Engineering,Anhui University of Technology,Ma′anshan 243032,Anhui,China;2. Thermal Power Plant of Ma′anshan Iron and Steel Co.,Ltd.,Ma′anshan 243002,Anhui,China
  • Published:2019-10-08

Abstract: The boiler combustion control system is one of the main control systems of the thermal power plant unit. It has the characteristics of large delay,variable load,multi- disturbance and nonlinearity. The variables have coupling relationship. Therefore,it is difficult to establish an accurate control model. To this end,a new decoupling method was proposed,which introduced decoupling parameters to realize decoupling control of the system. The combustion control system was simulated in the Matlab environment. The simulation results show that the control precision of the system is greatly improved.

Key words: combustion control system, coupling, decoupling

CLC Number: