English | PDF | 2005 | 559 Pages | ISBN : 1852337028 | 5.87 MB

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 eeer and many control acads this work has previously appeared fragmented; but a key deteant 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 b with model-free methods, progress through non-parametric model methods (relay expent 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 eeers wanting a better understanding of what is involved in the steps to a new generation of PID controller techniques. Acads wishing to have a broader perspective of PID control research and development will find useful pedagogical material and research ideas in this text.