Controllability analysis and optimal control of biomass drying with reduced order models. (May 2020)

• Record Type: Journal Article
• Authors: Berner, Marc Oliver; Scherer, Viktor; Mönnigmann, Martin
• Is Part Of: Journal of process control. Volume 89(2020)
• Page Start: 1
• Page End: 10
• Publication Date: 2020-05
• Subjects: Rotary dryer -- Model reduction -- Galerkin method -- Controllability analysis -- Empirical controllability Gramian -- Optimal control; Process control -- Periodicals; Fabrication -- Contrôle -- Périodiques; Process control; Periodicals; Electronic journals; 660.281
• DOI: 10.1016/j.jprocont.2020.03.002
• Languages: English
• ISSNs: 0959-1524

Abstract

Highlights: 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 Abstract: 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.