Support Vector Machine Model Based Predictive PID Control System for Cement Rotary Kiln
The rotary kiln calcination is the most important part of cement production including complicated physical and chemical reaction processes with large inertia, pure hysteresis, nonlinearity and strong coupling characteristics. Considering the need of advanced process control in cement industry, this paper presents the application of support vector machine modeling and generalized predictive control PID control algorithm to the conventional cement production. The main control system structure includes three control loops as the pressure control loop, the burning zone control loop and the back-end of kiln temperature control loop. Based on the analysis of PID and generalized predictive control algorithm, the performance index of generalized predictive control algorithm is restructured into PID form. By analysis of the experimental data, the nonlinear regression model based on SVM is introduced. The control algorithm using SVM model is simulated in two cases to derive the responses of system compared with the ordinary PID control algorithm. The simulation results show the effectiveness of the control and modeling scheme with better response time and small temperature deviation.
Cement Rotary Kiln PID SVM Predictive Control Control System Design
Zheng Li
School of Electrical Engineering and Information Science, Hebei University of Science and Technology, Shijiazhuang, 050018
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
3117-3121
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）