Control of Integral Processes with Dead Time

  • Antonio Visioli
  • Qingchang Zhong
Part of the Advances in Industrial Control book series (AIC)

Table of contents

  1. Front Matter
    Pages I-XXV
  2. PID Control Schemes

    1. Front Matter
      Pages 7-7
  3. Introduction

    1. Antonio Visioli, Qing-Chang Zhong
      Pages 1-6
  4. PID Control Schemes

    1. Front Matter
      Pages 7-7
    2. Antonio Visioli, Qing-Chang Zhong
      Pages 9-47
    3. Antonio Visioli, Qing-Chang Zhong
      Pages 49-70
    4. Antonio Visioli, Qing-Chang Zhong
      Pages 71-86
    5. Antonio Visioli, Qing-Chang Zhong
      Pages 87-92
  5. Two-degree-of-freedom Control Schemes

    1. Front Matter
      Pages 93-93
    2. Antonio Visioli, Qing-Chang Zhong
      Pages 95-120
    3. Antonio Visioli, Qing-Chang Zhong
      Pages 121-140
    4. Antonio Visioli, Qing-Chang Zhong
      Pages 141-185
    5. Antonio Visioli, Qing-Chang Zhong
      Pages 187-194
    6. Antonio Visioli, Qing-Chang Zhong
      Pages 195-212
    7. Antonio Visioli, Qing-Chang Zhong
      Pages 213-228
    8. Antonio Visioli, Qing-Chang Zhong
      Pages 229-239
  6. Back Matter
    Pages 241-251

About this book

Introduction

Integral processes with dead time are frequently encountered in the process industry; typical examples include supply chains, level control and batch distillation columns. Special attention must be paid to their control because they lack asymptotic stability (they are not self-regulating) and because of their delays. As a result, many techniques have been devised to cope with these hurdles both in the context of single-degree-of-freedom (proportional-integral-differential (PID)) and two-degree-of-freedom control schemes.

Control of Integral Processes with Dead Time provides a unified and coherent review of the various approaches devised for the control of integral processes, addressing the problem from different standpoints. In particular, the book treats the following topics:

• how to tune a PID controller and assess its performance;

• how to design a two-degree-of-freedom control scheme in order to deal with both the set-point following and load disturbance rejection tasks;

• how to modify the basic Smith predictor control scheme in order to cope with the presence of an integrator in the process; and

• how to address the presence of large process dead times.

The methods are presented sequentially, highlighting the evolution of their rationale and implementation and thus clearly characterising them from both academic and industrial perspectives. Control of Integral Processes with Dead Time will serve academic researchers in systems with dead time both as a reference and stimulus for new ideas for further work and will help industry-based control and process engineers to solve their control problems using the most suitable technique and achieving the best cost:benefit ratio.

Keywords

Control Control Applications Control Engineering Control Systems Feedforward Control Integral Processes OJ1412 PID Control Predictive Control Process Control Process Engineering Time-delay Systems

Authors and affiliations

  • Antonio Visioli
    • 1
  • Qingchang Zhong
    • 2
  1. 1.Facoltà di Ingegneria, Dipto. Elettronica per l'AutomazioneUniversità BresciaBresciaItaly
  2. 2.Department of Aeronautical and AutomotivLoughborough UniversityLoughboroughUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-85729-070-0
  • Copyright Information Springer-Verlag London Limited 2011
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-0-85729-069-4
  • Online ISBN 978-0-85729-070-0
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577