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PID Control [electronic resource] : New Identification and Design Methods / by 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 ; edited by Michael A. Johnson, Mohammad H. Moradi.

By: Contributor(s): Publisher: London : Springer London, 2005Description: XXVIII, 544 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781846281488
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 629.8 23
LOC classification:
  • TJ212-225
Online resources:
Contents:
PID Control Technology -- Some PID Control Fundamentals -- On-line Model-Free Methods -- Automatic PID Controller Tuning — the Nonparametric Approach -- Relay Experiments for Multivariable Systems -- Phase-Locked Loop Methods -- Phase-Locked Loop Methods and PID Control -- Process Reaction Curve and Relay Methods Identification and PID Tuning -- Fuzzy Logic and Genetic Algorithm Methods in PID Tuning -- Tuning PID Controllers Using Subspace Identification Methods -- Design of Multi-Loop and Multivariable PID Controllers -- Restricted Structure Optimal Control -- Predictive PID Control.
In: Springer eBooksSummary: 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. .
Item type: eBooks
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PID Control Technology -- Some PID Control Fundamentals -- On-line Model-Free Methods -- Automatic PID Controller Tuning — the Nonparametric Approach -- Relay Experiments for Multivariable Systems -- Phase-Locked Loop Methods -- Phase-Locked Loop Methods and PID Control -- Process Reaction Curve and Relay Methods Identification and PID Tuning -- Fuzzy Logic and Genetic Algorithm Methods in PID Tuning -- Tuning PID Controllers Using Subspace Identification Methods -- Design of Multi-Loop and Multivariable PID Controllers -- Restricted Structure Optimal Control -- Predictive PID Control.

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. .

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