Filling a gap in the literature for a practical approach to the topic, this book is unique in including a whole section of case studies presenting a wide range of applications from polymerization reactors and bioreactors, to distillation column and complex fluid catalytic cracking units. A section of general tuning guidelines of MPC is also present.These thus aid readers in facilitating the implementation of MPC in process engineering and automation. At the same time many theoretical, computational and implementation aspects of model-based control are explained, with a look at both linear and nonlinear model predictive control. Each chapter presents details related to the modeling of the process as well as the implementation of different model-based control approaches, and there is also a discussion of both the dynamic behaviour and the economics of industrial processes and plants. The book is unique in the broad coverage of different model based control strategies and in the variety of applications presented. A special merit of the book is in the included library of dynamic models of several industrially relevant processes, which can be used by both the industrial and academic community to study and implement advanced control strategies.
This book provides the methods, problems and tools necessary for process control engineering. This comprises process knowledge, sensor system technology, actuators, communication technology and logistics, as well as the design, construction, and operation of control systems. Beyond the traditional field of process engineering, the authors apply the same principles to biomedical processes, energy production and management of environmental issues.
Based on a previously developed dynamic simulator, aimed to predict the distribution of a pollutant accidental discharge in a river segment, the present work investigated the way automatic measures may be implemented for counteracting their negative effects. The complex time and space distribution of the pollutant concentration in the downstream region of the pollutant release is revealed by the k-ε turbulence model of the flow, associated to the convection-diffusion-reaction processes. This information is used by the model based predictive control strategy for adding a neutralizing agent in certain points of the river segment in order to reduce the downstream pollutant concentration. Both feedback and combined feeedback-feedforward model predictive control structures are considered and the results are presented for the case study of a River Somes segment, in the scenario of the continuous pollutant release.
Filling a gap in the literature for a practical approach to the topic, this book is unique in including a whole section of case studies presenting a wide range of applications from polymerization reactors and bioreactors, to distillation column and complex fluid catalytic cracking units. A section of general tuning guidelines of MPC is also present.These thus aid readers in facilitating the implementation of MPC in process engineering and automation. At the same time many theoretical, computational and implementation aspects of model-based control are explained, with a look at both linear and nonlinear model predictive control. Each chapter presents details related to the modeling of the process as well as the implementation of different model-based control approaches, and there is also a discussion of both the dynamic behaviour and the economics of industrial processes and plants. The book is unique in the broad coverage of different model based control strategies and in the variety of applications presented. A special merit of the book is in the included library of dynamic models of several industrially relevant processes, which can be used by both the industrial and academic community to study and implement advanced control strategies.
As a mature topic in chemical engineering, the book provides methods, problems and tools used in process control engineering. It discusses: process knowledge, sensor system technology, actuators, communication technology, and logistics, design and construction of control systems and their operation. The knowledge goes beyond the traditional process engineering field by applying the same principles, to biomedical processes, energy production and management of environmental issues. The book explains all the determinations in the "chemical systems" or "process systems", starting from the beginning of the processes, going through the intricate interdependency of the process stages, analyzing the hardware components of a control system and ending with the design of an appropriate control system for a process parameter or a whole process. The book is first addressed to the students and graduates of the departments of Chemical or Process Engineering. Second, to the chemical or process engineers in all industries or research and development centers, because they will notice the resemblance in approach from the system and control point of view, between different fields which might seem far from each other, but share the same control philosophy.
As a mature topic in chemical engineering, the book provides methods, problems and tools used in process control engineering. It discusses: process knowledge, sensor system technology, actuators, communication technology, and logistics, design and construction of control systems and their operation. The knowledge goes beyond the traditional process engineering field by applying the same principles, to biomedical processes, energy production and management of environmental issues. The book explains all the determinations in the "chemical systems" or "process systems", starting from the beginning of the processes, going through the intricate interdependency of the process stages, analyzing the hardware components of a control system and ending with the design of an appropriate control system for a process parameter or a whole process. The book is first addressed to the students and graduates of the departments of Chemical or Process Engineering. Second, to the chemical or process engineers in all industries or research and development centers, because they will notice the resemblance in approach from the system and control point of view, between different fields which might seem far from each other, but share the same control philosophy.
Basic Process Engineering Control is based on the extensive experience of the authors in the field of industry, teaching and writing. The textbook showcases methods, problems, and tools used in this well-established fi eld of chemical engineering and goes beyond traditional process engineering by applying the same principles to biomedical processes, energy production, and management of environmental issues. Starting from the behavior of processes, Basic Process Engineering Control explains all determinations in “chemical systems” or “process systems”, such as the intricate inter dependency of the process stages, analyzing the hardware components of a control system, and the design of an appropriate control system for a process parameter or a whole process. Although mainly aimed at students and graduates, the book is equally interesting to chemical or process engineers in all industries or research and development centers. Readers will notice the similarity in approach from the system and control point of view between different fields, which might otherwise seem far from each other but share the same control philosophy.
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