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Intelligent Supervisory Control of an Industrial Rotary Kiln

  • Esko Juuso
  • Mika Järvensivu
  • Olli Ahava
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 71)

Abstract

The process industries face considerable control challenges, especially in terms of the consistent production of high quality products, more efficient use of energy and raw materials, and stable operation under different conditions. Flexibility and fast reactions to market situations and changing operating conditions are necessary. Interactions between control loops make multivariable systems non-linear. The important quality variables can be estimated only from other measured variables. The physical limitations of actuators must be taken into account. The different time delays depend greatly on operating conditions and can dramatically limit performance and even destabilise the closed loop system. Uncertainty is an unavoidable part of process control in real world applications. These demands cannot be met by traditional control techniques only, and several methodologies have therefore been developed to extend the applicability of control systems (Juuso 1999a).

Keywords

Burnt Lime Closed Loop Mode Change Operating Condition Model Predictive Control Approach Lime Kiln 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Esko Juuso
    • 1
  • Mika Järvensivu
    • 2
  • Olli Ahava
    • 3
  1. 1.Control Engineering LaboratoryUniversity of OuluFinland
  2. 2.Pronyx Control SoftwareHelsinkiFinland
  3. 3.UPM-KymmenePietarsaariFinland

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