Predictive Functional Control: Principles and Industrial Applications / Edition 1

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The demands of the modern economic climate have led to a dramatic increase in the industrial application of model based predictive control techniques. In fact, apart from PID, predictive control is probably the most popular control in use today.

The predictive functional control (PFC) technique was first used to develop a model-based predictive controller that was easy to understand, implement and tune from an instrumentation engineer's perspective. In the forty years since, there have been thousands, of successful applications of PFC controllers in a large and diverse group of industries.

Predictive Functional Control provides the reader with:

a fundamental understanding of the principles associated with PFC

the basic PFC control equations to be implemented in all programming form; and

tuning rules and implementation procedures

In addition, some new features arising from the needs of the process industries are reported along with many examples of industrial applications.

This book is intended for technical staff in the process industries, familiar with classical control techniques, who need to take up the challenges posed by today's economic environment; graduate students requiring a background in modern control techniques; and industrial managers who require an overview of the PFC technique with a view to assessing its suitability for use in future projects.

Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact of all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work inall aspects of industrial control.

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Product Details

  • ISBN-13: 9781848824928
  • Publisher: Springer London
  • Publication date: 5/20/2009
  • Series: Advances in Industrial Control Series
  • Edition description: 2009
  • Edition number: 1
  • Pages: 224
  • Product dimensions: 6.30 (w) x 9.40 (h) x 0.70 (d)

Meet the Author

Jaques Richalet was born in Versailles, France, in 1936.

He studied aeronautical engineering at ENSAE in Paris and graduated in 1960. He then went to Berkeley, USA, where he obtained his MSc degree under the guidance of Prof. Zadeh. Back in Paris he worked in the field of applied mathematics and received his PhD in 1965.

His interest in model-based predictive control started as early as 1968. In the same year he founded the process engineering consulting company ADERSA with a major breakthrough being the first commissioned application of model based predictive control to a binary distillation column in 1973.

Since then he has been active in the areas of process identification, modelling and diagnosis methods such as predictive maintenance. Applications range from petrochemical and food industry to faster systems as encountered in the automotive and defense sector.

He was a manager of ADERSA till 2001 and is still working as a consultant for modelling and predictive control. He now lives in Versailles in France.

In his academic career he published more than fifty articles as well as three books on identification and predictive control. He has been president of the National Committee of Automatic Control and chairman of EEC Interest Group "CIDIC". For his achievements he was awarded the status as Chevalier de l'Ordre National du Merite and many researchers would probably agree to his being called "the grandfather of predictive control". He received the Nordic Process Control Award in 2007. He is now retired.

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Table of Contents

Why Predictive Control?.- Internal Model.- Reference Trajectory.- Control Computation.- Tuning.-Constraints.- Industrial Implementation.- Parametric Control.- Unstable Poles and Zeros.- Industrial Examples.- Conclusions.- Appendices.

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