| With the development of national economy, the cement industry is currently experiencing a great period of both technical and product structure adjustment. Therefore, the structure adjustment of cement industry, the use of advanced new dry-process cement kiln production technology and control strategies have become the urgent task of cement industry for sustainable development which can significantly promote economic development. Decomposing furnace is core of the new dry cement production system, its temperature control system is very important. However, the control process contains nonlinear, large time delay, control parameter uncertainty and other characteristics, which makes the control system complex. To be able to make the control process as precise as possible, more in-depth researches have been made about decomposition furnace temperature control system.In the first place of this paper, the statistical learning theory and support vector machine (SVM) theory have been studied. In addition based on the theory of support vector machine and the thorough research of technique of decomposing furnace, the mathematical model of decomposition furnace temperature control is established. And the mathematical model is validated by the production site data.Secondly, Fuzzy-PID controller is designed,it with the feedback of the prediction mathematical model was based on support vector machine (SVM).Which adapted to the nonlinear,large time delay characteristics of decomposition furnace temperature control system. Also, in order to deal with the characteristics of large-scale time delay, control parameter uncertainty, model reference fuzzy self-tuning controller with smith estimated is design. MATLAB simulation results demonstrate the effectiveness of the two controllers. Finally, in the analysis of the characteristics of DCS system and the fieldbus system, The problem of two system integration has been debate among professionals In order to find out the key to this problem, a new plan is designed based on OPC technology. Then, designed the control system program for transformation of a cement production line of Nissan 3000t decomposition furnace temperature control system. |