Model-Based Control of Particulate Processes

  • Panagiotis D. Christofides

Part of the Particle Technology Series book series (POTS, volume 14)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Panagiotis D. Christofides
    Pages 1-7
  3. Panagiotis D. Christofides
    Pages 35-57
  4. Panagiotis D. Christofides
    Pages 59-86
  5. Panagiotis D. Christofides
    Pages 87-120
  6. Panagiotis D. Christofides
    Pages 121-139
  7. Panagiotis D. Christofides
    Pages 141-162
  8. Panagiotis D. Christofides
    Pages 163-189
  9. Back Matter
    Pages 191-211

About this book

Introduction

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.

Keywords

actuator computer computer simulation control crystal development dynamics process control research sensor sensors simulation stabilization systems theory thermal spray

Authors and affiliations

  • Panagiotis D. Christofides
    • 1
  1. 1.Department of Chemical EngineeringUniversity of CaliforniaLos AngelesUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-015-9882-8
  • Copyright Information Springer Science+Business Media B.V. 2002
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-6148-5
  • Online ISBN 978-94-015-9882-8
  • Series Print ISSN 1567-827X
  • About this book
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