The main goal of the raw meal blending control in cement industry is to maintain near the reference moduli values and to decrease the variation of the chemical composition rejecting the disturbances. For this pulpose, Some commercial control systems are available today. But the control structure in these Jystems usually consists of a quality control. In this paper, the proposed constrained self-tuning controller deals with not on& the quality control but quantity control as well. This is accomplished by inserting a energy term into the quadratic peformance index. The self-tuning controller designed according to this performance index bases on a time-series model characterizing relationship between the feedrates and the moduli values. Because of the technological constraints, a optimization problem is formed to compute the control signal. The optimization problem is solved to obtain the least expensive and ifpossible the least sensitive mix of the raw materials that satisjes the quality requirements of the raw meal under incomplete and stochastic information of the different raw material component concentmtions. and further more in real time.

No abstract

No abstract

No abstract

No abstract