Regulation and control systems for fluid bed spray agglomeration
Fully automated processes require reliable process data. These are determined with methods of statistical experimental design and the application of artificial neural networks. The presented case study has shown the potential as well as the general feasibility of a model-based control of a fluidized bed spray agglomeration process. In addition to the actual control task, the systematic approach allows a deeper insight into details of concrete industrial granulation processes. (article in German language)
