Model-Based Control of Particulate Processes

Model-Based Control of Particulate Processes
Author :
Publisher : Springer Science & Business Media
Total Pages : 223
Release :
ISBN-10 : 9789401598828
ISBN-13 : 9401598827
Rating : 4/5 (827 Downloads)

Book Synopsis Model-Based Control of Particulate Processes by : Panagiotis D. Christofides

Download or read book Model-Based Control of Particulate Processes written by Panagiotis D. Christofides and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: Particulate processes are characterized by the co-presence of a contin uous phase and a dispersed (particulate) phase, and are widely used in industry for the manufacturing of many high-value products. Examples include the crystallization of proteins for pharmaceutical applications, the emulsion polymerization reactors for the production of latex, the aerosol synthesis of titania powder used in the production of white pig ments, and the thermal spray processing of nanostructured coatings. It is now well understood that the physico-chemical and mechanical properties of materials made with particulates depend heavily on the characteristics of the corresponding particle size distribution. This fact, together with recent advances in dynamics of infinite-dimensional sys tems and nonlinear control theory, has motivated extensive research on model-based control of particulate processes using population balances to achieve tight control of particle size distributions. This book - the first of its kind - presents general methods for the synthesis of nonlinear, robust and constrained feedback controllers for broad classes of particulate process models and illustrates their applica tions to industrially-important crystallization, aerosol and thermal spray processes. The controllers use a finite number of measurement sensors and control actuators to achieve stabilization of the closed-loop system, output tracking, attenuation of the effect of model uncertainty and han dling of actuator saturation.


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