PID CONTROL: NEW IDENTIFICATION AND DESIGN METHODS

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ISBN: 9788181288486
Author/Editor: JOHNSON MICHAEL A. ET. AL

Publisher: Springer

Year: 2008

1 in stock (can be backordered)

SKU: ABD-SPR-4135 Category:

Description

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. Written for: Academic researchers in PID control, industrial control practitioners, libraries, graduate students Keywords: PID control control design control engineering industrial control process control

Product Properties

Year of Publication

2008

Table of Contents

n/a

Author

JOHNSON MICHAEL A. ET. AL

ISBN/ISSN

9788181288486

Binding

n/a

Edition

1

Publisher

Springer

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