The PID controller is the most common option in the realm of control applications and is dominant in the process control industry. Among the related analytical methods, Internal Model Control (IMC) has gained remarkable industrial acceptance due to its robust nature and good set-point responses. However, the traditional application of IMC results in poor load disturbance rejection for lag-dominant and integrating plants. This book presents an IMC-like design method which avoids this common pitfall and is devised to work well for plants of modest complexity, for which analytical PID tuning is plausible. For simplicity, the design only focuses on the closed-loop sensitivity function, including formulations for the H? and H2 norms. Aimed at graduate students and researchers in control engineering, this book:
Considers both the robustness/performance and the servo/regulation trade-offs
Presents a systematic, optimization-based approach, ultimately leading to well-motivated, model-based, and analytically derived tuning rules
Shows how to tune PID controllers in a unified way, encompassing stable, integrating, and unstable processes
Finds in the Weighted Sensitivity Problem the sweet spot of robust, optimal, and PID control
Provides a common analytical framework that generalizes existing tuning proposals
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Illustrationen
74 s/w Abbildungen, 20 s/w Tabellen
20 Tables, black and white; 74 Illustrations, black and white
Maße
Höhe: 254 mm
Breite: 178 mm
Dicke: 9 mm
Gewicht
ISBN-13
978-0-367-53690-9 (9780367536909)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Salvador Alcantara Cano graduated in Computer Science & Engineering and then obtained the MSc and PhD degrees in Systems Engineering & Automation, all from Universitat Autonoma de Barcelona, in 2005, 2008, and 2011, respectively. During his short-lived research career, he focused on PID control and the analytical derivation of simple tuning rules guided by robust and optimal principles. He also made two research appointments with Professors Weidong Zhang and Sigurd Skogestad, almost completed a degree in Mathematics, and held a Marie Curie postdoctoral position in the Netherlands. Back in Barcelona, "Salva" worked as an automation & control practitioner for one more year, before definitively shifting his career into software development. Apart from programming and DevOps in general, his current interests include Stream Processing, Machine Learning, and Functional Programming & Category Theory.
Ramon Vilanova Arbos graduated from the Universitat Autonoma de Barcelona (1991), obtaining the title of Doctor through the same university (1996). At present, he's Full Professor of Automatic Control and Systems Engineering at the School of Engineering of the Universitat Autonoma de Barcelona where he develops educational task-teaching subjects of Signals and Systems, Automatic Control, and Technology of Automated Systems. His research interests include methods of tuning of PID regulators, systems with uncertainty, analysis of control systems with several degrees of freedom, applications to environmental systems, and development of methodologies for the design of machine-man interfaces. He is an author of several book chapters and has more than 100 publications in international congresses/journals. He is a member of IFAC and IEEE-IES. He's also a member of the Technical Committee on Factory Automation.
Carles Pedret i Ferre was born in Tarragona, Spain, on January 29, 1972. He received the BSc degree in Electronic Engineering and the PhD degree in System Engineering and Automation from Universitat Autonoma de Barcelona, in 1997 and 2003, respectively. He is Associate Professor at the Department of Telecommunications and System Engineering of Universitat Autonoma de Barcelona. His research interests are in uncertain systems, time-delay systems, and PID control.
Autor*in
UAB, Bellaterra, BCN, SPAIN
UAB, Bellaterra, BCN, SPAIN
UAB, Bellaterra, BCN, SPAIN
Foreword. Preface. Authors. 1. Introduction. 2. Simple Model-Matching Approach to Robust PID Control. 3. Alternative Design for Load Disturbance Improvement. 4. Analysis of the Smooth/Tight-Servo/Regulation Tuning Approaches. 5. H? Design with Application to PI Tuning. 6. Generalized IMC Design and H? Approach. 7. PID Design as a Weighted Sensitivity Problem. 8. PID Tuning Guidelines for Balanced Operation. Appendix A. Bibliography. Index.
