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Predictive Functional Control: Principles and Industrial Applications by Jacques

Description: Predictive Functional Control by Jacques Richalet, Donal O'Donovan, Karl E. Åström Around this time, Cutler and Ramaker published the dynamic matrix control algorithm that also used knowledge of future reference signals to determine a sequence of control signal adjustment. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description first industrial application of MPC was in 1973. A key motivation was to provide better performance than could be obtained with the widely-used PID controller whilst making it easy to replace the PID controller unit or module with his new algorithm. It was the advent of digital control technology and the use of software control algorithms that made this replacement easier and more acceptable to process engineers. A decade of industrial practice with PFC was reported in the archival literature by Jacques Richalet et al. in 1978 in an important seminal Automatica paper. Around this time, Cutler and Ramaker published the dynamic matrix control algorithm that also used knowledge of future reference signals to determine a sequence of control signal adjustment. Thus, the theoretical and practical development of predictive control methods was underway and subsequent developments included those of generalized predictive control, and the whole armoury of MPC methods. Jacques Richalets approach to PFC was to seek an algorithm that was: • easy to understand; • easy to install; • easy to tune and optimise. He sought a new modular control algorithm that could be readily used by the control-technician engineer or the control-instrument engineer. It goes without saying that this objective also forms a good market strategy. Back Cover 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 approach 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 engineers 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 programmable logic controllers or digital control systems in block 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 todays economic environment; engineering 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. Author Biography 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 lOrdre 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. 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. Long Description first industrial application of MPC was in 1973. A key motivation was to provide better performance than could be obtained with the widely-used PID controller whilst making it easy to replace the PID controller unit or module with his new algorithm. It was the advent of digital control technology and the use of software control algorithms that made this replacement easier and more acceptable to process engineers. A decade of industrial practice with PFC was reported in the archival literature by Jacques Richalet et al. in 1978 in an important seminal Automatica paper. Around this time, Cutler and Ramaker published the dynamic matrix control algorithm that also used knowledge of future reference signals to determine a sequence of control signal adjustment. Thus, the theoretical and practical development of predictive control methods was underway and subsequent developments included those of generalized predictive control, and the whole armoury of MPC methods. Jacques Richalets approach to PFC was to seek an algorithm that was: * easy to understand; * easy to install; * easy to tune and optimise. He sought a new modular control algorithm that could be readily used by the control-technician engineer or the control-instrument engineer. It goes without saying that this objective also forms a good market strategy. Feature Introduces the industrial engineer to more efficient control for more cost-effective processes and more profitable industry Shows the reader how to implement predictive control in programmable logic and digital control systems Draws on the forty years of applications experience of the "Grandfather of predictive control" Details ISBN1849968454 Author Karl E. Åström Publisher Springer London Ltd Series Advances in Industrial Control Edition 2009th ISBN-10 1849968454 ISBN-13 9781849968454 Format Paperback Imprint Springer London Ltd Place of Publication England Country of Publication United Kingdom DEWEY 629.8 Short Title PREDICTIVE FUNCTIONAL CONTROL Edition Description 2009 Language English Media Book Pages 224 Subtitle Principles and Industrial Applications Illustrations XXII, 224 p. Year 2013 Publication Date 2013-01-02 AU Release Date 2013-01-02 NZ Release Date 2013-01-02 UK Release Date 2013-01-02 Alternative 9781848824928 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96299130;

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Predictive Functional Control: Principles and Industrial Applications by Jacques

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ISBN-13: 9781849968454

Book Title: Predictive Functional Control

Number of Pages: 224 Pages

Language: English

Publication Name: Predictive Functional Control: Principles and Industrial Applications

Publisher: Springer London Ltd

Publication Year: 2013

Subject: Engineering & Technology, Mechanics

Item Height: 235 mm

Item Weight: 385 g

Type: Textbook

Author: Jacques Richalet, Donal O'donovan

Subject Area: Building Services Engineering, Mechanical Engineering, Chemical Engineering, Electrical Engineering

Item Width: 155 mm

Format: Paperback

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