Predictive Control in Process Engineering: From the Basics to the Applications

Originally developed to meet the specialized needs of power plants and petroleum refineries, predictive control technology can now be found in a wide variety of application areas. It has become the first choice for control strategy especially in the process industry, since it can intuitively and explicitly handle systems with input and output constraints.
Describing the principles and applications in a simple and lively manner, this practical book considers such issues as the handling of discontinuous control valves, non–linearities and numerical problems.
From the contents:
∗ Basics
∗ On–off control
∗ Linear SISO processes
∗ Dynamic matrix control
∗ Predictive PI(D) Control Algorithms
∗ Linear MIMO processes
∗ Estimation of the prediction equations
∗ Nonlinear SISO processes
∗ Industrial Program Packages
With its many examples and several industrial case studies, including the injection molding machine, waste water treatment and steam consumption in a stripping column, this is invaluable reading for both students and industrial users in a wide variety of application areas, such as chemicals, food processing, automotive, aerospace, metallurgy or pulp and paper.

Spis treści:
Predictive Control: Basics
Linear SISO (Single–Input, Single–Output) Model Descriptions
Prediction of Linear SISO Processes
Prediction On–Off Control
GPC (Generalized Predictive Control) of Linear SISO Processes
Predictive PI(D) Control Algorithms
GPC of Linear MIMO (Multi–Input Multi–Output) Processes
Estimation of the Prediction Equations
GPC of Nonlinear SISO Processes
Multi–Model and Multi–Controller Approaches
Using an Industrial Program Package for Multivariable Predictive Control
Case Studies
Industrial Applications
Methodology and Experiences


Nota biograficzna:
Pr of. Robert Haber studied electrical and mechanical engineering at the universities of Budapest and Stuttgart. He gained his doctorate from the Technical University of Budapest in 1976. Since 1988 he has been professor for process engineering at the University of Applied Science in Cologne. He is the author of more than 120 scientific papers, book chapters and books.
Dr. Ruth Bars studied electrical engineering at the University of Budapest and gained his PhD in 1976. Currently, she is associate professor at the University of Technology and Economics in Budapest.
Ulrich Schmitz studied chemical engineering at the University of Applied Science in Cologne, and received his Master of Engineering in 2002. He is scientific assistant at the Institute of Plant and Process Engineering (University of Applied Science in Cologne) and co–worker of Prof. Haber.


Okładka tylna:
Originally developed to meet the specialized needs of power plants and petroleum refineries, predictive control technology can now be found in a wide variety of application areas. It has become the first choice for control strategy especially in the process industry, since it can intuitively and explicitly handle systems with input and output constraints.
Describing the principles and applications in a simple and lively manner, this practical book considers such issues as the handling of discontinuous control valves, non–linearities and numerical problems.
From the contents:
∗ Basics
∗ On–off control
∗ Linear SISO processes
∗ Dynamic matrix control
∗ Predictive PI(D) Control Algorithms
∗ Linear MIMO processes
∗ Estimation of the prediction equations
∗ Nonlinear SISO processes
∗ Industrial Program Packages
With its many examples and several industrial case studies, including the injection molding machine, waste water treatment and steam consumption in a stripping colu mn, this is invaluable reading for both students and industrial users in a wide variety of application areas, such as chemicals, food processing, automotive, aerospace, metallurgy or pulp and paper.