Modeling of raw material mixing process in raw meal grinding installations

The objective of the present study is to build a reliable model of the dynamics among the chemical modules in the outlet of raw meal grinding systems and the proportion of the raw materials. The process model is constituted from three transfer functions, each one containing five independent parameters. The computations are performed using a full year industrial data by constructing a specific algorithm. The results indicate high parameters uncertainty due to the large number of disturbances during the raw mill operation. The model developed can feed with inputs advanced automatic control implementations, in order a robust controller to be achieved, able to attenuate the disturbances affecting the raw meal quality.

[1]  Jiang Jing,et al.  Optimal sliding-mode control scheme for the position tracking servo system , 2008 .

[2]  Hua Deng,et al.  Hybrid expert system for raw materials blending , 2008 .

[3]  Tsamatsoulis Dimitris,et al.  Dynamic behavior of closed grinding systems and effective PID parameterization , 2009 .

[4]  Tooran Emami,et al.  Robust performance characterization of PID controllers in the frequency domain , 2009 .

[5]  F. Lea.  The chemistry of cement and concrete , 1970 .

[6]  Cemal Baykara,et al.  Modelling of the raw mixing process in cement industry , 2001, ETFA 2001. 8th International Conference on Emerging Technologies and Factory Automation. Proceedings (Cat. No.01TH8597).

[7]  L. Gordon.  Advanced raw mill control delivers improved economic performance in cement production , 2004, IEEE-IAS/PCA 2004 Cement Industry Technical Conference (IEEE Cat. No04CH37518).

[8]  Tooran Emami,et al.  A unified approach for sensitivity design of PID controllers in the frequency domain , 2009 .

[9]  László Keviczky,et al.  Self-tuning adaptive control of cement raw material blending , 1978, Autom..

[10]  J. Murdoch.  Shewhart Control Charts , 1979 .

[11]  Can Özsoy,et al.  Identification and control of the raw material blending process in cement industry , 2004 .

[12]  László Keviczky,et al.  A novel adaptive control system for raw material blending , 2003 .

[13]  Armen Bagdasaryan,et al.  System approach to synthesis, modeling and control of complex dynamical systems , 2009, ArXiv.