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ADEX Optimized Adaptive Controllers and Systems

From Research to Industrial Practice

  • Juan M. Martín-Sánchez
  • José Rodellar

Part of the Advances in Industrial Control book series (AIC)

Table of contents

  1. Front Matter
    Pages i-xxxi
  2. Introduction and Fundamentals of Optimized Adaptive Controllers and Systems

    1. Front Matter
      Pages 1-2
    2. Juan M. Martín-Sánchez, José Rodellar
      Pages 3-35
    3. Juan M. Martín-Sánchez, José Rodellar
      Pages 37-55
    4. Back Matter
      Pages 57-64
  3. Design of the Driver Block: Basic and Extended Predictive Control Strategies

    1. Front Matter
      Pages 65-65
    2. Juan M. Martín-Sánchez, José Rodellar
      Pages 67-81
    3. Juan M. Martín-Sánchez, José Rodellar
      Pages 83-110
    4. Back Matter
      Pages 111-123
  4. Design of the Adaptation Mechanism: Synthesis of the Adaptive System

    1. Front Matter
      Pages 125-125
    2. Juan M. Martín-Sánchez, José Rodellar
      Pages 127-138
    3. Juan M. Martín-Sánchez, José Rodellar
      Pages 139-160
    4. Back Matter
      Pages 161-168
  5. Stability Theory of Adaptive Predictive Control

    1. Front Matter
      Pages 169-169
    2. Juan M. Martín-Sánchez, José Rodellar
      Pages 171-197
    3. Back Matter
      Pages 199-209
  6. Benchmark Applications of Predictive, Adaptive Predictive and Optimized Adaptive Control

    1. Front Matter
      Pages 211-212
    2. Juan M. Martín-Sánchez, José Rodellar
      Pages 213-237
    3. Juan M. Martín-Sánchez, José Rodellar
      Pages 239-253
    4. Juan M. Martín-Sánchez, José Rodellar
      Pages 255-272
  7. Technological Realization of ADEX Optimized Adaptive Control Systems

    1. Front Matter
      Pages 273-274
    2. Juan M. Martín-Sánchez, José Rodellar
      Pages 275-298
    3. Juan M. Martín-Sánchez, José Rodellar
      Pages 299-328
  8. Conclusion

    1. Front Matter
      Pages 365-365
    2. Juan M. Martín-Sánchez, José Rodellar
      Pages 367-375
  9. Back Matter
    Pages 377-447

About this book

Introduction

This book is a didactic explanation of the developments of predictive, adaptive predictive and optimized adaptive control, including the latest methodology of adaptive predictive expert (ADEX) control, and their practical applications. It is focused on the stability perspective, used in the introduction of these methodologies, and is divided into six parts, with exercises and real-time simulations provided for the reader as appropriate.

ADEX Optimized Adaptive Controllers and Systems begins with the conceptual and intuitive knowledge of the technology and derives the stability conditions to be verified by the driver block and the adaptive mechanism of the optimized adaptive controller to guarantee achievement of desired control performance. The second and third parts are centered on the design of the driver block and adaptive mechanism, which verify these stability conditions. The authors then proceed to detail the stability theory that supports predictive, adaptive predictive and optimized adaptive control methodologies. Benchmark applications of these methodologies (distillation column, pulp-factory bleaching plant and flexible structures) are treated next with a focus on practical implementation issues. The final part of the book describes ADEX platforms, and illustrates their use in the design and implementation of optimized adaptive control systems in three different challenging-to-control industrial processes:

·         waste-water treatment;

·         sulfur recovery; and

·         temperature control of superheated steam in coal-fired power generation.

The presentation is completed by a number of appendices containing technical background associated with the main text, including a manual for the first ADEX COP platform developed to exploit the capabilities of adaptive predictive control in real plants.

ADEX Optimized Adaptive Controllers and Systems provides practicing process control engineers with a multivariable optimized control solution which is adaptive and resistant to changes in process dynamics, perturbations and the effects of noise. Its pedagogical features also facilitate its use as a teaching tool for formal university and Internet-based open-education-type graduate courses in practical optimized adaptive control and for self-study.

Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Keywords

ADEX Control Adaptive Predictive Control Adaptive Systems Stability Coal-Fired Power Plant Distillation Columns Optimized Adaptive Control Paper Pulp Bleaching Sulfur Recovery Wastewater Treatment

Authors and affiliations

  • Juan M. Martín-Sánchez
    • 1
  • José Rodellar
    • 2
  1. 1.Departamento de Ingeniería Eléctrica, Electrónica y de ControlUniversidad Nacional de Educación a Distancia (UNED)MadridSpain
  2. 2.Departament de Matemàtica Aplicada III Campus NordUniversitat Politècnica de CatalunyaBarcelonaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-09794-7
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-09793-0
  • Online ISBN 978-3-319-09794-7
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • Buy this book on publisher's site