PID Control (PDF)
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...
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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.
- Autoren: A. Sánchez , D. R. Greenwood , G. R. Chen , H. -P. Huang , J. Crowe , J. -C. Jeng , K. F. Man , K. K. Tan , K. S. Tang , M. J. Grimble , M. R. Katebi , P. Martin , Q. -G. Wang , R. Ferdous , S. Kwong , T. H. Lee , Yong Zhang , Yu Zhang
- 2005, 2005, 544 Seiten, Englisch
- Herausgegeben: Michael A Johnson, Mohammad H. Moradi
- Verlag: Springer-Verlag GmbH
- ISBN-10: 1846281482
- ISBN-13: 9781846281488
- Erscheinungsdatum: 28.12.2005
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- Dateiformat: PDF
- Größe: 6.01 MB
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