A intelligent control model of hot metal desulphurization process

In view of the shortcomings that traditional desulphurization control model´s low precision and low auto-adapted ability, according to the mechanism of hot metal desulphurization process, the intelligent control model based on RBF nerve network and feedback consumption control method is introduced. The model uses RBF nerve work technology to build desulphurization control model, uses feedback compensation method to solve model failure problem caused by desulphurization powder quality change. The emulate contrast shows the mathematical model can suffice for the requirement of desulphurization control, can reduce consumption of desulphurization powder effectively. This is the paper style requirement for the Chinese Control and Decision Conference. The writers of papers should and must provide normalized electronic documents in order for readers to search and read papers conveniently.