Process Control Systems

Process Control Systems
Title Process Control Systems PDF eBook
Author Shinskey F. G.
Publisher
Pages
Release 1965
Genre
ISBN

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Process-control Systems

Process-control Systems
Title Process-control Systems PDF eBook
Author F. Greg Shinskey
Publisher
Pages 390
Release 1967
Genre Automatic control
ISBN

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Industrial Process Control Systems, Second Edition

Industrial Process Control Systems, Second Edition
Title Industrial Process Control Systems, Second Edition PDF eBook
Author Dale R. Patrick
Publisher CRC Press
Pages 0
Release 2009-06-24
Genre Technology & Engineering
ISBN 9781439815762

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This book provides a basic approach to understanding and effectively applying industrial process control based on the systems concept. It provides an overview of an operating system, then divides it into sections for individual discussion. It covers topics including the operating system, process control, pressure systems, thermal systems, and level determining systems. It also addresses flow process systems, analytical process systems, microprocessor systems, automated processes, and robotic systems.

Process Control: Designing Processes and Control Systems for Dynamic Performance

Process Control: Designing Processes and Control Systems for Dynamic Performance
Title Process Control: Designing Processes and Control Systems for Dynamic Performance PDF eBook
Author Thomas E. Marlin
Publisher McGraw-Hill Science, Engineering & Mathematics
Pages 1062
Release 2000-02-02
Genre Business & Economics
ISBN

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Publisher Description

Process Control Systems Engineering

Process Control Systems Engineering
Title Process Control Systems Engineering PDF eBook
Author Leon Urbas
Publisher Deutscher Industrieverlag
Pages 304
Release 2012
Genre
ISBN 9783835631984

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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."

Introduction to Process Control

Introduction to Process Control
Title Introduction to Process Control PDF eBook
Author Jose A. Romagnoli
Publisher CRC Press
Pages 561
Release 2020-07-14
Genre Science
ISBN 1000078957

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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.

Robust Industrial Control Systems

Robust Industrial Control Systems
Title Robust Industrial Control Systems PDF eBook
Author Michael J. Grimble
Publisher John Wiley & Sons
Pages 698
Release 2006-05-01
Genre Science
ISBN 0470020741

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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.