Process Control Systems (PCS) are distributed control systems (DCS) that are specialized to meet the requirements of the process industries. Many processes and plants of that domain have high safety and availability requirements, are instrumented with a large number of sensors and actuators and show a rather high degree of automation at least in standard operation regimes. There are remarkable differences and cross-discipline interdependencies between chemical-physical properties of the substances, procedures, unit operations, equipment, instrumentation and control strategies. This results in the observation that there hardly any two plants that are identical, even if the products are interchangeable.There are remarkable differences and cross-discipline interdependencies between chemical-physical properties of the substances, prodedures, unit operations, equipment, instrumentation and control strategies. This results in the observation that there hardly any two plants that are identical, even if the products are interchangeable. Thus, it is not surprising, that there is an ongoing discussion if each domain of the process industries, namely chemicals, pharma, pulp & paper, oil & gas, food & beverages and water/waste water treatment should have its own specialized automation system. On the contrary, there are some opinions that PCS architectures that address all of the distinct requirements of the process industries, should even be generic enough to render the distinction between PCS and e.g. DCS for power generation and distribution a merely marketing or historical issue, not a technical one.This text book contributes towards that discussion simply by putting its focus on PCS engineering basics that are common to the different domains of the process industries. The examples and exercises are related to an experimental research plant which serves for the exploration of the interaction between process modularization and process automation methods in the process industries. This makes it possible to capture features of highly specialized and integrated mono-product plants (e.g. chemicals) as well as application areas which are dominated by locally standardized general-purpose apparatus and multi-product schemes (bio-chemistry, pharma). While the theory presented in this text book is applicable for all of the PCS of the different established vendors, the examples as well as most of the screen shots refer to PCS 7, Siemens control system for the process industries. Focusing on a single PCS makes it possible to use this text book not only in basic lectures on PCS Engineering but also in computer lab courses that allow students gaining hands-on experience."

This book has been prepared keeping in view the abstractness of this science Process control and for better understanding of this subject for practising engineers, teachers and students of Instrumentation, Electrical and Electronics disciplines. The major topics of process control have been explained with greater lucidity by taking appropriate illustrative examples and more number of solved problems wherever required, for easier comprehension and quick assimilation of the subject. Also the subject matter has been carefully prepared to cater to the needs of multi-disciplined engineering students where process control systems, are an integral part of their curriculum. It explains the concepts of process control instrumentation with a touch of practicality supported by related mathematical background to make the reading journey interestingly instructive.

Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems presents a comprehensive introduction to the use of frequency domain and polynomial system design techniques for a range of industrial control and signal processing applications. The solution of stochastic and robust optimal control problems is considered, building up from single-input problems and gradually developing the results for multivariable design of the later chapters. In addition to cataloguing many of the results in polynomial systems needed to calculate industrial controllers and filters, basic design procedures are also introduced which enable cost functions and system descriptions to be specified in order to satisfy industrial requirements. Providing a range of solutions to control and signal processing problems, this book: * Presents a comprehensive introduction to the polynomial systems approach for the solution of H_2 and H_infinity optimal control problems. * Develops robust control design procedures using frequency domain methods. * Demonstrates design examples for gas turbines, marine systems, metal processing, flight control, wind turbines, process control and manufacturing systems. * Includes the analysis of multi-degrees of freedom controllers and the computation of restricted structure controllers that are simple to implement. * Considers time-varying control and signal processing problems. * Addresses the control of non-linear processes using both multiple model concepts and new optimal control solutions. Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems is essential reading for professional engineers requiring an introduction to optimal control theory and insights into its use in the design of real industrial processes. Students and researchers in the field will also find it an excellent reference tool.

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.

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.

Introduction to Process Control, Third Edition continues to provide a bridge between traditional and modern views of process control by blending conventional topics with a broader perspective of integrated process operation, control, and information systems. Updated and expanded throughout, this third edition addresses issues highly relevant to today’s teaching of process control: Discusses smart manufacturing, new data preprocessing techniques, and machine learning and artificial intelligence concepts that are part of current smart manufacturing decisions Includes extensive references to guide the reader to the resources needed to solve modeling, classification, and monitoring problems Introduces the link between process optimization and process control (optimizing control), including the effect of disturbances on the optimal plant operation, the concepts of steady-state and dynamic back-off as ways to quantify the economic benefits of control, and how to determine an optimal transition policy during a planned production change Incorporates an introduction to the modern architectures of industrial computer control systems with real case studies and applications to pilot-scale operations Analyzes the expanded role of process control in modern manufacturing, including model-centric technologies and integrated control systems Integrates data processing/reconciliation and intelligent monitoring in the overall control system architecture Drawing on the authors’ combined 60 years of teaching experiences, this classroom-tested text is designed for chemical engineering students but is also suitable for industrial practitioners who need to understand key concepts of process control and how to implement them. The text offers a comprehensive pedagogical approach to reinforce learning and presents a concept first followed by an example, allowing students to grasp theoretical concepts in a practical manner and uses the same problem in each chapter, culminating in a complete control design strategy. A vast number of exercises throughout ensure readers are supported in their learning and comprehension. Downloadable MATLAB® toolboxes for process control education as well as the main simulation examples from the book offer a user-friendly software environment for interactively studying the examples in the text. These can be downloaded from the publisher’s website. Solutions manual is available for qualifying professors from the publisher.

This book surveys methods, problems, and tools used in process control engineering. Its scope has been purposely made broad in order to permit an overall view of this subject. This book is intended both for interested nonspecialists who wish to become acquainted with the discipline of process control engineering and for process control engineers, who should find it helpful in identifying individual tasks and organizing them into a coherent whole. A central concern of this treatment is to arrive at a consistent and comprehensive way of thinking about process control engineering and to show how the several specialities can be organically fitted into this total view.

Presenting a fresh look at process control, this new text demonstrates state-space approach shown in parallel with the traditional approach to explain the strategies used in industry today. Modern time-domain and traditional transform-domain methods are integrated throughout and explain the advantages and limitations of each approach; the fundamental theoretical concepts and methods of process control are applied to practical problems. To ensure understanding of the mathematical calculations involved, MATLAB® is included for numeric calculations and MAPLE for symbolic calculations, with the math behind every method carefully explained so that students develop a clear understanding of how and why the software tools work. Written for a one-semester course with optional advanced-level material, features include solved examples, cases that include a number of chemical reactor examples, chapter summaries, key terms, and concepts, as well as over 240 end-of-chapter problems, focused computational exercises and solutions for instructors.