Industrial Control Systems Design

ISBN-13: 9780471492252 / Angielski / Twarda / 2001 / 642 str.

Michael J. Grimble

Opis

Demands are being placed on the manufacturing and process industries by their customers for better product quality, together with reduced environmental impact. This book presents advanced theoretical achievements in control engineering and demonstrates how they can be applied in industry. It provides design studies and examples in various application sector, placing emphasis throughout on the major challenges in model predictive control, the current method of choice in control engineering. Techniques presented are developed from a solid theoretical framework and include both state space and frequency domain methods.

Recenzje

"For practicing engineers and academic researchers, Grimble...systematically surveys recent developments in control and estimation, emphasizing applications." (SciTech Book News Vol. 25, No. 2 June 2001)

"...of interest to students in a course on control systems design or to engineers in the industry." (Zentralblatt MATH, Vol. 966, 2001/16)

"...the control community can be grateful to Prof. Grimble for providing a significant resource..." (Computing & Control Engineering Journal, December 2002)

Spis treści

Preface.

Introduction to Advanced Industrial Control.

POLYNOMIAL SYSTEM DESCRIPTIONS.

H2 Optimal and Feedforward Control.

H2 Predictive Optimal Control.

H2 Multivariable Control.

H Optimal Control Laws.

H2 and H Filtering and Prediction.

STATE SPACE AD FREQUENCY RESPONSE DESCRIPTIONS.

H2 and H State–Space Control and Filtering.

State–Space Predictive Optimal Control.

QFT and Frequency Domain Design.

INDUSTRAL APPLICATIONS.

Power Generation and Transmission.

Design of Controllers for Metal Processing.

Marine Control Systems.

Aero–Engine and Flight Control Design.

Blurb

Bridging the gap between research and industry, this volume systematically and comprehensively presents the latest advances in control and estimation. With emphasis on applications, industrial problems illustrate the use of transfer function and state space methods for modelling and design.
Combining theroy with practice, Industrial Control Systems Design will appeal to practising engineers and academic researchers in control engineering.
This unique reference:
∗ spans fundamental state space and polynomial systems theory and introduces quantitative feedback theory.
∗ Includes design case studies with illustrative problem descriptions and analysis from the steel, marine, process control, aerospace and power generation sectors.
∗ Focuses on the challenges in predictive optimal control, now an indispensable method in advanced control applications.
∗ Provides an introduction to safety–critical control systems design and combined fault monitoring and control techniques.
∗ Discusses the design of LQG and H–controllers with several degrees of freedom, including feedback, tracking and feedforward functions.