Industrial PID Controller Tuning / Advances in Industrial Control (PDF)
74 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Industrial PID Controller Tuning presents a different view of the servo/regulator compromise that has been studied for a long time in industrial control research. Optimal tuning generally involves comparison of cost functions (e.g., a quadratic function of the error or a time-weighted absolute value of the error) but without taking advantage of available multi-objective optimization methods. The book does make use of multi-objective optimization to account for several sources of disturbance, applying them to a more realistic problem: how to select the tuning of a controller when both servo and regulator responses are important.
The authors review the different deterministic multi-objective optimization methods. In order to ameliorate the consequences of the computational expense typically involved in their use-specifically the generation of multiple solutions among which the control engineer still has to choose-algorithms for two-degree-of-freedomPID control are implemented in MATLAB®. MATLAB code and a MATLAB-compatible program are provided for download and will help readers to adapt the ideas presented in the text for use in their own systems. Further practical guidance is offered by the inclusion of several examples of common industrial processes amenable to the use of the authors' methods.
Researchers interested in non-heuristic approaches to controller tuning or in decision-making after a Pareto set has been established and graduate students interested in beginning a career working with PID control and/or industrial controller tuning will find this book a valuable reference and source of ideas.Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new workin all aspects of industrial control.
Orlando Arrieta received Bachelor's and Master's degrees in Electrical Engineering from the University of Costa Rica in 2003 and 2006 respectively. In 2007 he obtained a Master's degree in Systems Engineering and Automatic and in 2010 he received a Ph.D., both from the Autonomous University of Barcelona, ¿¿Spain, in thefield of PID Control. Between 2003 and 2005, he was an Interim Professor in the Automation Department of the School of Electrical Engineering of the University of Costa Rica. Later he became part of the research group in Advanced Control Systems of the Autonomous University of Barcelona, ¿¿where he also conducts a postdoctoral period. Since 2011, he is Professor of the Automation Department of the School of Electrical Engineering of the University of Costa Rica, reaching in 2015 the rank of Professor. He is a researcher at the Institute of Engineering Research (INII) and the Control Engineering Research Laboratory (CERLab). His research interests are focused on Process Control, applied to the PID Control. Since 2017 he is also Dean of the Faculty of Engineering.
Ramón Vilanova was born in Lérida, Spain, on September 10, 1968. He graduated in the Autonomous University of Barcelona (1991) obtaining the title of doctor through the same University (1996). At present he occupies the position of Lecturer at the School of Engineering of the
- Autoren: José David Rojas , Orlando Arrieta , Ramon Vilanova
- 2021, 1st ed. 2021, 148 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3030723119
- ISBN-13: 9783030723118
- Erscheinungsdatum: 22.05.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 7 MB
- Ohne Kopierschutz
- Vorlesefunktion
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Industrial PID Controller Tuning / Advances in Industrial Control".
Kommentar verfassen