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  • © 2005

PID Control

New Identification and Design Methods

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xxvii
  2. PID Control Technology

    • M.A. Johnson
    Pages 1-46
  3. Some PID Control Fundamentals

    • M.A. Johnson, M.H. Moradi
    Pages 47-107
  4. On-line Model-Free Methods

    • J. Crowe, M.A. Johnson
    Pages 109-146
  5. Automatic PID Controller Tuning — the Nonparametric Approach

    • K.K. Tan, T.H. Lee, R. Ferdous
    Pages 147-181
  6. Relay Experiments for Multivariable Systems

    • M.H. Moradi, M.R. Katebi
    Pages 183-211
  7. Phase-Locked Loop Methods

    • J. Crowe, M.A. Johnson
    Pages 213-257
  8. Phase-Locked Loop Methods and PID Control

    • J. Crowe, M.A. Johnson
    Pages 259-296
  9. Fuzzy Logic and Genetic Algorithm Methods in PID Tuning

    • K.S. Tang, G.R. Chen, K.F. Man, S. Kwong
    Pages 339-360
  10. Tuning PID Controllers Using Subspace Identification Methods

    • A. Sanchez, M.R. Katebi, M.A. Johnson
    Pages 361-388
  11. Design of Multi-Loop and Multivariable PID Controllers

    • Q.-G. Wang, Yong Zhang, Yu Zhang
    Pages 389-427
  12. Restricted Structure Optimal Control

    • P. Martin, M.J. Grimble, D. Greenwood, M.A. Johnson
    Pages 429-472
  13. Predictive PID Control

    • M.H. Moradi, M.A. Johnson, M.R. Katebi
    Pages 473-529
  14. Back Matter

    Pages 531-543

About this book

The effectiveness of proportional-integral-derivative (PID) controllers for a large class of process systems has ensured their continued and widespread use in industry. Similarly there has been a continued interest from academia in devising new ways of approaching the PID tuning problem.

 To the industrial engineer and many control academics this work has previously appeared fragmented; but a key determinant of this literature is the type of process model information used in the PID tuning methods. PID Control presents a set of coordinated contributions illustrating methods, old and new, that cover the range of process model assumptions systematically. After a review of PID technology, these contributions begin with model-free methods, progress through non-parametric model methods (relay experiment and phase-locked-loop procedures), visit fuzzy-logic- and genetic-algorithm-based methods; introduce a novel subspace identification method before closing with an interesting set of parametric model techniques including a chapter on predictive PID controllers. Highlights of PID Control include:

an introduction to PID control technology features and typical industrial implementations;

chapter contributions ordered by the increasing quality of the model information used;

novel PID control concepts for multivariable processes.

 PID Control will be useful to industry-based engineers wanting a better understanding of what is involved in the steps to a new generation of PID controller techniques. Academics wishing to have a broader perspective of PID control research and development will find useful pedagogical material and research ideas in this text. 

Editors and Affiliations

  • Industrial Control Centre, University of Strathclyde, Glasgow, UK

    Michael A. Johnson

  • Electrical Engineering Group, Faculty of Engineering, Bu-Ali Sina University, Hamadan, Iran

    Mohammad H. Moradi

Bibliographic Information

  • Book Title: PID Control

  • Book Subtitle: New Identification and Design Methods

  • Authors: J. Crowe, K.K. Tan, T.H. Lee, R. Ferdous, M.R. Katebi, H.-P. Huang, J.-C. Jeng, K.S. Tang, G.R. Chen, K.F. Man, S. Kwong, A. Sánchez, Q.-G. Wang, Yong Zhang, Yu Zhang, P. Martin, M.J. Grimble, D.R. Greenwood

  • Editors: Michael A. Johnson, Mohammad H. Moradi

  • DOI: https://doi.org/10.1007/1-84628-148-2

  • Publisher: Springer London

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag London 2005

  • Hardcover ISBN: 978-1-85233-702-5Published: 17 June 2005

  • Softcover ISBN: 978-1-84996-897-3Published: 13 October 2010

  • eBook ISBN: 978-1-84628-148-8Published: 28 December 2005

  • Edition Number: 1

  • Number of Pages: XXVIII, 544

  • Topics: Control and Systems Theory, Complexity, Industrial and Production Engineering, Engineering Design, Systems Theory, Control

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access