PID Control

TRAMA

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. 

SOMMARIO

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.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9781852337025
• Dimensioni: 235 x 191 mm
• Formato: Copertina rigida
• Illustration Notes: XXVIII, 544 p.
• Pagine Arabe: 544
• Pagine Romane: xxviii