Abstract
AbstractA method for assessing control performance at different operating conditions in a chemical process is developed using singular value analysis. The control potential of the system is established by analyzing the singular values of the steady‐state system matrix. Dynamic considerations and interaction analysis can be included in the framework of the method described. The approach enables the process engineer to consider controllability of the process as well as economics in synthesizing a changeover control policy. Singular values depend on the scaling of the system, i.e., the definition of the physical dimensions of the system. The effects of scaling on the analysis are first investigated by scaling the steady‐state system matrix with empirical methods, equilibration, and geometric scaling. Using the insights gained from these studies a scaling method, variable normalization and equation equilibration, which is intuitively appealing and suited for the purpose, is devised. Two typical systems, continuous stirred tank reactor and a polymerization reaction system, demonstrate the usefulness of this method.
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