Nitric acid plays an important role in industrial and agricultural production. However, nitric acid production environment is abominable and full of toxic gas which is harmful to production staffs’ health. What’s more, the discharge of Industrial wastewater is closely related to environment. In recent years, more advanced production equipments come into use and the nitric acid industry boosts production capacity. However, the industry of nitric acid also has shortcomings, such as the amendment does not timely. Therefore, it is helpful to automatically control the production process of ammonium nitrate, which is of positive significance to promote the development of nitric acid industry. Nitric acid oxidation furnace temperature stability and nitric acid concentration control is difficult in the nitric acid production process, for their nonlinearity and hysteresis quality, these two control characteristic are relatively complicated, traditional PID can not achieve good control effect. Therefore, it must take appropriate advanced control method to obtain satisfactory control effect. The quality of nitrate concentration will directly affect the product quality and economic benefit of manufacturer, the study of this paper is based on a new chemical group nitric acid project in Shanxi Province, thus, the research of nitric acid oxidation furnace temperature and nitric acid concentration has active significance. This paper builds on the basis of detailed understanding of nitric acid production technology development status and automatic control status of home and abroad. According to the characteristics of the nitrate industrial production process, the author analyzes difficulties in nitric acid production control system. Based on the field to the actual data collected in nitric acid production control system, ammonia air ratio and nitrate control model is established. And the DMC method was applied to nitric acid oxidation furnace temperature and acid concentration successfully, which solves the difficult problem of the lag and nonlinear contro. The effectiveness of the predictive control is verified by the simulation taked by the author.
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