| Titre : |
PID Control : new identification and design methods |
| Type de document : |
texte imprimé |
| Auteurs : |
Michel A. Johnson, Auteur ; Mohammad H. Moradi, Auteur |
| Editeur : |
London : Springer-Verlag |
| Année de publication : |
2005 |
| Importance : |
543 p. |
| Présentation : |
couv. ill. en coul., ill. |
| Format : |
26,1 cm. |
| ISBN/ISSN/EAN : |
978-1-85233-702-5 |
| Langues : |
Anglais (eng) |
| Catégories : |
AUTOMATISME
|
| Index. décimale : |
25-07 Théorie de la commande: commandes des processus |
| Résumé : |
he 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.
|
| Note de contenu : |
Table of contents
1 PID Control Technology
2 Some PID Control Fundamentals
3 On-line Model-Free Methods
4 Automatic PID Controller Tuning - the Nonparametric Approach
5 Relay Experiments for Multivariable Systems
6 Phase-Locked Loop Methods.- Phase-Locked Loop Methods and PID Control
8 Process Reaction Curve and Relay Methods Identification and PID Tuning
9 Fuzzy Logic and Genetic Algorithm Methods in PID Tuning
10 Tuning PID Controllers Using Subspace Identification Methods
11 Design of Multi-Loop and Multivariable PID Controllers
12 Restricted Structure Optimal Control
13 Predictive PID Control
-Index |
PID Control : new identification and design methods [texte imprimé] / Michel A. Johnson, Auteur ; Mohammad H. Moradi, Auteur . - London : Springer-Verlag, 2005 . - 543 p. : couv. ill. en coul., ill. ; 26,1 cm. ISBN : 978-1-85233-702-5 Langues : Anglais ( eng)
| Catégories : |
AUTOMATISME
|
| Index. décimale : |
25-07 Théorie de la commande: commandes des processus |
| Résumé : |
he 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.
|
| Note de contenu : |
Table of contents
1 PID Control Technology
2 Some PID Control Fundamentals
3 On-line Model-Free Methods
4 Automatic PID Controller Tuning - the Nonparametric Approach
5 Relay Experiments for Multivariable Systems
6 Phase-Locked Loop Methods.- Phase-Locked Loop Methods and PID Control
8 Process Reaction Curve and Relay Methods Identification and PID Tuning
9 Fuzzy Logic and Genetic Algorithm Methods in PID Tuning
10 Tuning PID Controllers Using Subspace Identification Methods
11 Design of Multi-Loop and Multivariable PID Controllers
12 Restricted Structure Optimal Control
13 Predictive PID Control
-Index |
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