Model-Reference Robust Tuning of PID Controllers
Language: English
Published by Springer, Springer Apr 2018, 2018
- Softcover
- New
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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This item is printed on demand - Print on Demand Titel. Neuware -This book presentsa unified methodology for the design of PID controllers that encompasses the widerange of different dynamics to be found in industrial processes. This is extendedto provide a coherent way of dealing with the tuning of PID controllers. The particularmethod at the core of the book is the so-called model-reference robust tuning (MoReRT)developed by the authors. MoReRT constitutes a novel and powerful way of thinkingof a robust design and taking into account the usual design trade-offs encounteredin any control design problem.The book starts bypresenting the different two-degree-of-freedomPID control algorithm variationsand their conversion relations as well as the indexes used for performance, robustnessand fragility evaluation:the bases of the proposed model. Secondly, the MoReRT designmethodology and normalized controlled process models and controllers used in thedesign are described in order to facilitate the formulation of the different designproblems and subsequent derivation of tuning rules. Inlater chapters the applicationof MoReRT to over-damped, inverse-response, integrating and unstable processes isdescribed. The book ends by presenting three possible extensions of the MoReRT methodologythereby opening the door to new research developments. In this way, the book servesas a reference and source book for academic researchers who may also consider itas a stimulus for new ideas as well as for industrial practitioners and manufacturersof control systems who will find appropriate advanced solutions to many applicationproblems.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 212 pp. Englisch.…
Seller Inventory # 9783319802992
- Title
- Model-Reference Robust Tuning of PID Controllers
- Author
- Victor M. Alfaro
- Publisher
- Springer, Springer Apr 2018
- Publication year
- 2018
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3319802992
- ISBN 13
- 9783319802992
- Item weight
- 368 grams
- Dimensions
- 235x155x11 mm
- Series
- Book 125 of 167: Advances in Industrial Control
This book presents a unified methodology for the design of PID controllers that encompasses the wide range of different dynamics to be found in industrial processes. This is extended to provide a coherent way of dealing with the tuning of PID controllers. The particular method at the core of the book is the so-called model-reference robust tuning (MoReRT), developed by the authors. MoReRT constitutes a novel and powerful way of thinking of a robust design and taking into account the usual design trade-offs encountered in any control design problem.
The book starts by presenting the different two-degree-of-freedomPID control algorithm variations and their conversion relations as well as the indexes used for performance, robustness and fragility evaluation:the bases of the proposed model. Secondly, the MoReRT design methodology and normalized controlled process models and controllers used in the design are described in order to facilitate the formulation of the different design problems and subsequent derivation of tuning rules. Inlater chapters the application of MoReRT to over-damped, inverse-response, integrating and unstable processes is described. The book ends by presenting three possible extensions of the MoReRT methodology, thereby opening the door to new research developments. In this way, the book serves as a reference and source book for academic researchers who may also consider it as a stimulus for new ideas as well as for industrial practitioners and manufacturers of control systems who will find appropriate advanced solutions to many application problems.
"Synopsis" may belong to another edition of this title.
About the Author
He gained industrial experience by working in the fertilizer industry, and crude oil and refined products pipeline industry, and as consulting engineer in industrial processes control.
He has acted as a referee for several international journals and IEEE and IFAC conferences. He is coauthor of several book chapters and over 70 refereed journal and conference papers. His main research interests are robust two-degree-of-freedon PI(D) controllers, controller fragility, process control, and heterogeneous dynamic systems modelling and control with Modelica . He is a registered electrical engineer in Costa Rica and a Senior member of ISA.
Ramon Vilanova received the degree in Computer Science from the Universitat Autonoma de Barcelona, Spain in 1991. The M.Sc. and Ph.D. degrees followed also at the Universitat Autonoma de Barcelona in 1993 and 1996 respectively. His Ph.D. dissertation was on Two-Degree-of-Freedom control system analysis for robust tracking properties. From 1992 to 1996 he has been assistant lecturer and from 2006 onwards he is Professor for technical studies of Automatic Control and Systems Engineering at the Department of Telecommunications and Systems Engineering, Universitat Autònoma de Barcelona, Spain.
He has participated in several European projects as well as research projects funded by the Spanish national government. His teaching activity is centred on Systems Engineering, Industrial ProcessControl and Automation Systems. His main research interests are on controller design for systems with uncertainty, industrial process control with a strong emphasis on PID control, and control theory applications. Recently he focused his research interest on the application of process control techniques to wastewater treatment systems. Acting as a referee for several international journals and conferences, he is co-author of several contributed book chapters and about 100 refereed International Journal/ Conference papers. He is a member of CEA, IEEE and IFAC.
"About the title" may belong to another edition of this title.
buchversandmimpf2000
Emtmannsberg, BAYE, Germany
AbeBooks seller since January 23, 2017
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