Advanced Control of Industrial Processes: Structures and Algorithms / Edition 1

Advanced Control of Industrial Processes: Structures and Algorithms / Edition 1

by Piotr Tatjewski
     
 

Advanced Control of Industrial Processes presents the concepts and algorithms of advanced industrial process control and on-line optimisation within the framework of a multilayer structure. Relatively simple unconstrained nonlinear fuzzy control algorithms and linear predictive control laws are covered, as are more involved constrained and nonlinear model

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Overview

Advanced Control of Industrial Processes presents the concepts and algorithms of advanced industrial process control and on-line optimisation within the framework of a multilayer structure. Relatively simple unconstrained nonlinear fuzzy control algorithms and linear predictive control laws are covered, as are more involved constrained and nonlinear model predictive control (MPC) algorithms and on-line set-point optimisation techniques.

The major topics and key features are:

• Development and discussion of a multilayer control structure with interrelated direct control, set-point control and optimisation layers, as a framework for the subject of the book.

• Systematic presentation and stability analysis of fuzzy feedback control algorithms in Takagi-Sugeno structures for state-space and input-output models, in discrete and continuous time, presented as natural generalisations of well-known practical linear control laws (like the PID law) to the nonlinear case.

• Thorough derivation of most practical MPC algorithms with linear process models (dynamic matrix control, generalised predictive control, and with state-space models), both as fast explicit control laws (also embedded into appropriate structures to cope with process input constraints), and as more involved numerical constrained MPC algorithms.

• Development of computationally effective MPC structures for nonlinear process models, utilising on-line model linearisations and fuzzy reasoning.

• General presentation of the subject of on-line set-point improvement and optimisation, together with iterative algorithms capable of coping with uncertainty in process models and disturbance estimates.

• Complete theoretical stability analysis of fuzzy Takagi-Sugeno control systems, discussion of stability and feasibility issues of MPC algorithms as well as of tuning aspects, discussion of applicability and convergence of on-line set-point improvement algorithms.

• Thorough illustration of the methodologies and algorithms by worked examples in the text.

• Control and set-point optimisation algorithms together with results of simulations based on industrial process models, stemming primarily from the petrochemical and chemical industries.

Starting from important and well-known techniques (supplemented with the original work of the author), the book includes recent research results mainly concerned with nonlinear advanced feedback control and set-point optimisation. It is addressed to readers interested in the important basic mechanisms of advanced control, including engineers and practitioners, as well as to research staff and postgraduate students.

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Product Details

ISBN-13:
9781849966320
Publisher:
Springer London
Publication date:
12/09/2010
Series:
Advances in Industrial Control Series, #5
Edition description:
Softcover reprint of hardcover 1st ed. 2007
Pages:
332
Product dimensions:
9.21(w) x 6.14(h) x 0.74(d)

Related Subjects

Table of Contents

Multilayer Control Structure.- Model-based Fuzzy Control.- Model-based Predictive Control.- Set-point Optimization.

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