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portada Stability and Robustness in Data-Driven Predictive Control
Type
Physical Book
Publisher
Author
Language
English
Pages
262
Format
Paperback
ISBN13
9783832555313

Stability and Robustness in Data-Driven Predictive Control

Julian Berberich (Author) · Logos Verlag Berlin · Paperback

Stability and Robustness in Data-Driven Predictive Control - Julian Berberich

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Synopsis "Stability and Robustness in Data-Driven Predictive Control"

Spray polymerisation has a long time been discussed as a promising process, yet, with little knowledge on cause-and-effect relationships between drying and chemical reactions. This work develops a new single droplet model of combined solution drying and free radical homopolymerisation, based on the method of moments. New, consistent approaches for moments' diffusion and the reaction-diffusion system are derived to ensure conservation. Simulations reveal peculiarities of the process such as that, due to drying, polymerisation happens mostly in bulk and monomer evaporation leads to a poor yield. Various process variants and simulation models are discussed. The impact of process parameters is examined by means of numerical DoEs. The second part presents a novel approach for the simulation of structure evolution in suspension drying. The meshfree SPH method is used to model the relevant physical effects on a detailed scale during the first and second drying period. New implementations of physical effects are derived: heat and mass transfer based on linear driving forces, an implicit solution of the heat equation, several approaches for crust formation and a new formulation of surface tension by pairwise forces. The formation of dense structures as well as hollow granules can be simulated. Model parameters influence crust formation during the second drying period concerning shape and microporosity and can be interpreted in a physical sense.

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