Industrial Process Control Systems
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| Author | : Dale R. Patrick |
| Publisher | : CRC Press |
| Total Pages | : 0 |
| Release | : 2009-06-24 |
| Genre | : Technology & Engineering |
| ISBN | : 9781439815762 |
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.
| Author | : Ghodrat Kalani |
| Publisher | : Gulf Professional Publishing |
| Total Pages | : 200 |
| Release | : 2002-10-11 |
| Genre | : Science |
| ISBN | : 9780750674461 |
This is a comprehensive, practical, easy-to-read book on process control, covering some of the most important topics in the petrochemical process industry, including Fieldbus, Multiphase Flow Metering, and other recently developed control systems. A compilation of all the best instrumentation and control techniques used in industry today Interesting theoretical content as well as practical topics on planning, integration and application Includes the latest on Fieldbus, Profibus and Multiphase Flow Metering.
| Author | : K.L.S. Sharma |
| Publisher | : Elsevier |
| Total Pages | : 494 |
| Release | : 2016-10-25 |
| Genre | : Technology & Engineering |
| ISBN | : 012809303X |
Overview of Industrial Process Automation, Second Edition, introduces the basics of philosophy, technology, terminology, and practices of modern automation systems through the presentation of updated examples, illustrations, case studies, and images. This updated edition adds new developments in the automation domain, and its reorganization of chapters and appendixes provides better continuity and seamless knowledge transfer. Manufacturing and chemical engineers involved in factory and process automation, and students studying industrial automation will find this book to be a great, comprehensive resource for further explanation and study. - Presents a ready made reference that introduces all aspects of automation technology in a single place with day-to-day examples - Provides a basic platform for the understanding of industry literature on automation products, systems, and solutions - Contains a guided tour of the subject without the requirement of any previous knowledge on automation - Includes new topics, such as factory and process automation, IT/OT Integration, ISA 95, Industry 4.0, IoT, etc., along with safety systems in process plants and machines
| Author | : Michael J. Grimble |
| Publisher | : John Wiley & Sons |
| Total Pages | : 698 |
| Release | : 2006-05-01 |
| Genre | : Science |
| ISBN | : 0470020741 |
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.
| Author | : Tao Liu |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 487 |
| Release | : 2011-11-16 |
| Genre | : Technology & Engineering |
| ISBN | : 0857299778 |
Industrial Process Identification and Control Design is devoted to advanced identification and control methods for the operation of continuous-time processes both with and without time delay, in industrial and chemical engineering practice. The simple and practical step- or relay-feedback test is employed when applying the proposed identification techniques, which are classified in terms of common industrial process type: open-loop stable; integrating; and unstable, respectively. Correspondingly, control system design and tuning models that follow are presented for single-input-single-output processes. Furthermore, new two-degree-of-freedom control strategies and cascade control system design methods are explored with reference to independently-improving, set-point tracking and load disturbance rejection. Decoupling, multi-loop, and decentralized control techniques for the operation of multiple-input-multiple-output processes are also detailed. Perfect tracking of a desire output trajectory is realized using iterative learning control in uncertain industrial batch processes. All the proposed methods are presented in an easy-to-follow style, illustrated by examples and practical applications. This book will be valuable for researchers in system identification and control theory, and will also be of interest to graduate control students from process, chemical, and electrical engineering backgrounds and to practising control engineers in the process industry.
| Author | : B.R. Mehta |
| Publisher | : Butterworth-Heinemann |
| Total Pages | : 668 |
| Release | : 2014-11-26 |
| Genre | : Technology & Engineering |
| ISBN | : 0128010983 |
Industrial Process Automation Systems: Design and Implementation is a clear guide to the practicalities of modern industrial automation systems. Bridging the gap between theory and technician-level coverage, it offers a pragmatic approach to the subject based on industrial experience, taking in the latest technologies and professional practices.Its comprehensive coverage of concepts and applications provides engineers with the knowledge they need before referring to vendor documentation, while clear guidelines for implementing process control options and worked examples of deployments translate theory into practice with ease.This book is an ideal introduction to the subject for junior level professionals as well as being an essential reference for more experienced practitioners. - Provides knowledge of the different systems available and their applications, enabling engineers to design automation solutions to solve real industry problems - Includes case studies and practical information on key items that need to be considered when procuring automation systems - Written by an experienced practitioner from a leading technology company
| Author | : Joseph Weiss |
| Publisher | : Momentum Press |
| Total Pages | : 340 |
| Release | : 2010 |
| Genre | : Computers |
| ISBN | : 1606501976 |
Aimed at both the novice and expert in IT security and industrial control systems (ICS), this book will help readers gain a better understanding of protecting ICSs from electronic threats. Cyber security is getting much more attention and "SCADA security" (Supervisory Control and Data Acquisition) is a particularly important part of this field, as are Distributed Control Systems (DCS), Programmable Logic Controllers (PLCs), Remote Terminal Units (RTUs), Intelligent Electronic Devices (IEDs), and all the other, field controllers, sensors, drives, and emission controls that make up the "intelligence" of modern industrial buildings and facilities. Some Key Features include: How to better understand the convergence between Industrial Control Systems (ICS) and general IT systems Insight into educational needs and certifications How to conduct Risk and Vulnerability Assessments Descriptions and observations from malicious and unintentional ICS cyber incidents Recommendations for securing ICS
| Author | : Jon Stenerson |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2003 |
| Genre | : Automation |
| ISBN | : 9780130330307 |
B> Covers PLCs, process control, sensors, robotics, fluid power, CNC, Lockout/Tagout and safety, and more. Offers such a wide array of topics that readers can use this book as a reference for many different issues in industrial automation. Featuring the greatest breadth and depth of coverage available on the subject, this practical book explores the main topics in industrial automation; and provides a much-needed, understandable discussion of process control. A comprehensive reference for professionals in industrial automation.
| Author | : Wolfgang Altmann |
| Publisher | : Elsevier |
| Total Pages | : 304 |
| Release | : 2005-05-10 |
| Genre | : Technology & Engineering |
| ISBN | : 008048025X |
This book is aimed at engineers and technicians who need to have a clear, practical understanding of the essentials of process control, loop tuning and how to optimize the operation of their particular plant or process. The reader would typically be involved in the design, implementation and upgrading of industrial control systems. Mathematical theory has been kept to a minimum with the emphasis throughout on practical applications and useful information.This book will enable the reader to:* Specify and design the loop requirements for a plant using PID control* Identify and apply the essential building blocks in automatic control* Apply the procedures for open and closed loop tuning* Tune control loops with significant dead-times* Demonstrate a clear understanding of analog process control and how to tune analog loops* Explain concepts used by major manufacturers who use the most up-to-date technology in the process control field·A practical focus on the optimization of process and plant·Readers develop professional competencies, not just theoretical knowledge·Reduce dead-time with loop tuning techniques
| Author | : Michael J. Grimble |
| Publisher | : Springer Nature |
| Total Pages | : 778 |
| Release | : 2020-05-19 |
| Genre | : Technology & Engineering |
| ISBN | : 1447174577 |
Nonlinear Industrial Control Systems presents a range of mostly optimisation-based methods for severely nonlinear systems; it discusses feedforward and feedback control and tracking control systems design. The plant models and design algorithms are provided in a MATLAB® toolbox that enable both academic examples and industrial application studies to be repeated and evaluated, taking into account practical application and implementation problems. The text makes nonlinear control theory accessible to readers having only a background in linear systems, and concentrates on real applications of nonlinear control. It covers: different ways of modelling nonlinear systems including state space, polynomial-based, linear parameter varying, state-dependent and hybrid; design techniques for nonlinear optimal control including generalised-minimum-variance, model predictive control, quadratic-Gaussian, factorised and H∞ design methods; design philosophies that are suitable for aerospace, automotive, marine, process-control, energy systems, robotics, servo systems and manufacturing; steps in design procedures that are illustrated in design studies to define cost-functions and cope with problems such as disturbance rejection, uncertainties and integral wind-up; and baseline non-optimal control techniques such as nonlinear Smith predictors, feedback linearization, sliding mode control and nonlinear PID. Nonlinear Industrial Control Systems is valuable to engineers in industry dealing with actual nonlinear systems. It provides students with a comprehensive range of techniques and examples for solving real nonlinear control design problems.
