The study of BP neural network decoupling control in sulfur dioxide converter

Analyzed the coupling relations among each variable in the operating processes of the sulfur dioxide converter. Based on traditional PID controls we have suggested a new control algorithm of BP neural network for the temperature of decoupling control according to dynamic characteristics of multivariate, nonlinear and strong coupling system, then, an intelligent controller with decoupling ability is made up. The simulation results show that this algorithm has good control effect.