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On‐Line Inferential Models in Nonlinear Multivariate Control Applications
Author(s) -
Ansari R. M.,
Tadé M. O.
Publication year - 1996
Publication title -
developments in chemical engineering and mineral processing
Language(s) - English
Resource type - Journals
eISSN - 1932-2143
pISSN - 0969-1855
DOI - 10.1002/apj.5500040106
Subject(s) - multivariable calculus , nonlinear system , limit (mathematics) , control theory (sociology) , sampling (signal processing) , computer science , quality (philosophy) , product (mathematics) , line (geometry) , control engineering , control (management) , engineering , mathematics , artificial intelligence , mathematical analysis , philosophy , physics , geometry , filter (signal processing) , epistemology , quantum mechanics , computer vision
On‐line product quality measurements suffer from excessive time delays and sampling intervals which limit their effectiveness as inputs for automatic control. Inferential models which are based on fast and continuously available temperature, pressure and flow measurements reduce the negative impact of the sample intervals and time delays with minimum compromise on accuracy. The resulting continuous and fast response keeps the product qualities on specifications and minimizes the quality giveaway. This paper highlights the development aspects of correlations, use of inferential models in both open and closed loop environments, laboratory update mechanism, operators acceptance and benefits of inferential models and their use as a controlled variable in nonlinear multivariable control applications.