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Autor(en): 
  • Panagiotis D. Christofides
  • Model-Based Control of Particulate Processes 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Oktober 2002  
    Genre:  Naturwissensch., Medizin, Technik 
     
    B / Chemical Engineering / engineering / Industrial and Production Engineering / Industrial Chemistry / Industrial chemistry & chemical engineering / Industrial Chemistry/Chemical Engineering / Industrial Engineering
    ISBN:  9781402009365 
    EAN-Code: 
    9781402009365 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #14 - Particle Technology Series  
    Dimensionen:  H 234 mm / B 156 mm / D 17 mm 
    Gewicht:  1130 gr 
    Seiten:  211 
    Illustration:  XX, 211 p. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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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