PID Control New Identification and Design Methods /

• Κύριοι συγγραφείς: Crowe, J. (Συγγραφέας), Tan, K.K (Συγγραφέας), Lee, T.H (Συγγραφέας), Ferdous, R. (Συγγραφέας), Katebi, M.R (Συγγραφέας), Huang, H.-P (Συγγραφέας), Jeng, J.-C (Συγγραφέας), Tang, K.S (Συγγραφέας), Chen, G.R (Συγγραφέας), Man, K.F (Συγγραφέας), Kwong, S. (Συγγραφέας), Sánchez, A. (Συγγραφέας), Wang, Q.-G (Συγγραφέας), Zhang, Yong (Συγγραφέας), Zhang, Yu (Συγγραφέας), Martin, P. (Συγγραφέας), Grimble, M.J (Συγγραφέας), Greenwood, D.R (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Johnson, Michael A. (Επιμελητής έκδοσης), Moradi, Mohammad H. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London, 2005.
• Θέματα: Engineering.; System theory.; Complexity, Computational.; Engineering design.; Control engineering.; Industrial engineering.; Production engineering.; Control.; Complexity.; Industrial and Production Engineering.; Engineering Design.; Systems Theory, Control.

 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. . 

 PID Control Technology -- Some PID Control Fundamentals -- On-line Model-Free Methods -- Automatic PID Controller Tuning — the Nonparametric Approach -- Relay Experiments for Multivariable Systems -- Phase-Locked Loop Methods -- Phase-Locked Loop Methods and PID Control -- Process Reaction Curve and Relay Methods Identification and PID Tuning -- Fuzzy Logic and Genetic Algorithm Methods in PID Tuning -- Tuning PID Controllers Using Subspace Identification Methods -- Design of Multi-Loop and Multivariable PID Controllers -- Restricted Structure Optimal Control -- Predictive PID Control.