Title :
A novel adaptive control system for raw material blending
Author :
Bányász, Cs ; Keviczky, L. ; Vajk, István
Author_Institution :
Comput. & Autom. Res. Inst., Hungarian Acad. of Sci., Budapest, Hungary
fDate :
2/1/2003 12:00:00 AM
Abstract :
We discuss a new generic optimal controller structure for raw material blending in the cement industry. We focus on an important phase of the proportioning-burning-grinding operation triplet that essentially determines the cement quality; namely, the composition control of the raw mill system. We begin by describing the application of a generic optimal controller structure to this important phase, followed by a discussion of the control engineering background and the design of the realized controller. Finally, the control algorithm is discussed in a technology-independent manner.
Keywords :
adaptive control; blending; cement industry; mixing; optimal control; process control; adaptive control system; burning; cement industry; grinding; optimal controller structure; proportioning; raw material blending; realized controller design; Adaptive control; Automatic control; Automation; Building materials; Material storage; Milling machines; Optimal control; Production facilities; Proportional control; Raw materials;
Journal_Title :
Control Systems, IEEE
DOI :
10.1109/MCS.2003.1172832