PID Control: New Identification and Design Methods

Johnson, Michael A; Moradi, Mohammad H.

ISBN 10: 1852337028 / ISBN 13: 9781852337025

Published by Springer-Verlag, 2005

About this Item

This book has mild rubbing and surface scratching to both covers, light smudging most notable on the front cover, two stickers near the bottom of the spine, minor shelfwear to the edges and corners of the covers including gently bumped and frayed bottom corners, a portion of black marker on the front endpage covering a former owner's signature, a similar black marker portion at the top edge of the textblock, and a stamp with faint black markings on the back endpage, otherwise this book is in very good reference condition with crisp, unmarked pages, a tight binding, and a strong, attractive cover.

Seller Inventory # 1037206

Bibliographic Details

• Title: PID Control: New Identification and Design Methods
• Publisher: Springer-Verlag
• Publication Date: 2005
• Language: English
• ISBN 10: 1852337028
• ISBN 13: 9781852337025
• Binding: Hardcover
• Condition: Very Good
• Seller catalogs:
  • Engineering Red/Orange

About this title

Synopsis

Demand for this book will be generated by the widespread use of PID in industry and because of the modern need for simple control systems to control a wider range of complex industrial processes and systems.

From the Back Cover

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.