Controllability analysis and optimal control of biomass drying with reduced order models

•Process models for the drying of biomass are derived by applying model reduction methods to distributed parameter system•Controllability properties of the industrial process are analyzed by combining reduced models and empirical Gramians•Optimal control problems are solved with reduced models to fi...

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Bibliographic Details
Published inJournal of process control Vol. 89; pp. 1 - 10
Main Authors Berner, Marc Oliver, Scherer, Viktor, Mönnigmann, Martin
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.05.2020
Subjects
Controllability analysis
Empirical controllability Gramian
Galerkin method
Model reduction
Optimal control
Rotary dryer
Galerkin method
Model reduction
Controllability analysis
Empirical controllability Gramian
Rotary dryer
Optimal control
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Summary:•Process models for the drying of biomass are derived by applying model reduction methods to distributed parameter system•Controllability properties of the industrial process are analyzed by combining reduced models and empirical Gramians•Optimal control problems are solved with reduced models to find energy-optimal drying procedures Complex industrial processes such as the drying of combustible biomass can be modeled with partial differential equations. Due to their complexity, it is not straightforward to use these models for the analysis of system properties or for solving optimal control problems. We show reduced order models can be derived and used for these purposes for industrial drying processes.
ISSN:0959-1524
1873-2771
DOI:10.1016/j.jprocont.2020.03.002