Author: Jose A. Romagnoli Publisher: CRC Press ISBN: 1000078957 Category : Science Languages : en Pages : 857
Book Description
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.
Author: Peihua Qiu Publisher: CRC Press ISBN: 1482220415 Category : Business & Economics Languages : en Pages : 520
Book Description
A major tool for quality control and management, statistical process control (SPC) monitors sequential processes, such as production lines and Internet traffic, to ensure that they work stably and satisfactorily. Along with covering traditional methods, Introduction to Statistical Process Control describes many recent SPC methods that improve upon
Author: George Stephanopoulos Publisher: Prentice Hall ISBN: 9780131285965 Category : Chemical process control Languages : en Pages : 696
Book Description
Covers all aspects of chemical process control and provides a clear and complete overview of the design and hardware elements needed for practical implementation.
Author: William Y. Svrcek Publisher: John Wiley & Sons ISBN: 111868138X Category : Technology & Engineering Languages : en Pages : 272
Book Description
A Real- Time Approach to Process Control provides the reader with both a theoretical and practical introduction to this increasingly important approach. Assuming no prior knowledge of the subject, this text introduces all of the applied fundamentals of process control from instrumentation to process dynamics, PID loops and tuning, to distillation, multi-loop and plant-wide control. In addition, readers come away with a working knowledge of the three most popular dynamic simulation packages. The text carefully balances theory and practice by offering readings and lecture materials along with hands-on workshops that provide a 'virtual' process on which to experiment and from which to learn modern, real time control strategy development. As well as a general updating of the book specific changes include: A new section on boiler control in the chapter on common control loops A major rewrite of the chapters on distillation column control and multiple single-loop control schemes The addition of new figures throughout the text Workshop instructions will be altered to suit the latest versions of HYSYS, ASPEN and DYNSIM simulation software A new solutions manual for the workshop problems
Author: Jose A. Romagnoli Publisher: CRC Press ISBN: 1439854874 Category : Science Languages : en Pages : 637
Book Description
Introduction to Process Control, Second Edition provides a bridge between the traditional view of process control and the current, expanded role by blending conventional topics with a broader perspective of more integrated process operation, control, and information systems. Updating and expanding the content of its predecessor, this second edition
Author: Muhammad Aslam Publisher: John Wiley & Sons ISBN: 1119528453 Category : Mathematics Languages : en Pages : 288
Book Description
An Introduction to the Fundamentals and History of Control Charts, Applications, and Guidelines for Implementation Introduction to Statistical Process Control examines various types of control charts that are typically used by engineering students and practitioners. This book helps readers develop a better understanding of the history, implementation, and use-cases. Students are presented with varying control chart techniques, information, and roadmaps to ensure their control charts are operating efficiently and producing specification-confirming products. This is the essential text on the theories and applications behind statistical methods and control procedures. This eight-chapter reference breaks information down into digestible sections and covers topics including: ● An introduction to the basics as well as a background of control charts ● Widely used and newly researched attributes of control charts, including guidelines for implementation ● The process capability index for both normal and non-normal distribution via the sampling of multiple dependent states ● An overview of attribute control charts based on memory statistics ● The development of control charts using EQMA statistics For a solid understanding of control methodologies and the basics of quality assurance, Introduction to Statistical Process Control is a definitive reference designed to be read by practitioners and students alike. It is an essential textbook for those who want to explore quality control and systems design.
Author: Dale E. Seborg Publisher: John Wiley & Sons ISBN: 1119285917 Category : Technology & Engineering Languages : en Pages : 512
Book Description
The new 4th edition of Seborg’s Process Dynamics Control provides full topical coverage for process control courses in the chemical engineering curriculum, emphasizing how process control and its related fields of process modeling and optimization are essential to the development of high-value products. A principal objective of this new edition is to describe modern techniques for control processes, with an emphasis on complex systems necessary to the development, design, and operation of modern processing plants. Control process instructors can cover the basic material while also having the flexibility to include advanced topics.
Author: George Buckbee Publisher: ISBN: 9781643311302 Category : Languages : en Pages : 0
Book Description
Process control is essential in modern manufacturing. The control system is the eyes, ears, and nervous system of the plant. It senses, decides, and directs the activities of the pumps, valves, motors, and other equipment. The control system handles many routine tasks, freeing up the operator to oversee the operation and handle new situations that arise. Without process control, it would be nearly impossible to efficiently produce commodities like pulp and paper, gasoline, plastic, and pharmaceuticals. Most people learn process control through hands-on plant experience, accompanied by a healthy dose of self-study. This is because textbooks generally address the mathematics of process dynamics and control, but often miss the practical aspects. This easy-to-read book fills the gap by focusing on practical real-world knowledge of process control systems, providing clear and concise examples, and providing practical advice for handling day-to-day maintenance and documentation. The author begins by discussing control terminology, principles, and applications, the information one needs to form a basic understanding of process control. He then explains the differences between discrete, continuous, and batch control, as well as the different control systems, programming languages, and documentation needed for each. To complete the foundation, the author addresses the management of control systems including discussions about maintenance, change management, communications, and documentation. Finally, one chapter introduces advanced control topics such as advanced regulatory control, multivariable control, and neural networks. Whether you are a student of process control, a technician or engineer expanding their skills, or someone in operations, maintenance, sales, support, or management who wants to develop a basic understanding of process control, this book is for you.
Author: Y. Zhu Publisher: Elsevier ISBN: 0080537111 Category : Technology & Engineering Languages : en Pages : 373
Book Description
Systems and control theory has experienced significant development in the past few decades. New techniques have emerged which hold enormous potential for industrial applications, and which have therefore also attracted much interest from academic researchers. However, the impact of these developments on the process industries has been limited.The purpose of Multivariable System Identification for Process Control is to bridge the gap between theory and application, and to provide industrial solutions, based on sound scientific theory, to process identification problems. The book is organized in a reader-friendly way, starting with the simplest methods, and then gradually introducing more complex techniques. Thus, the reader is offered clear physical insight without recourse to large amounts of mathematics. Each method is covered in a single chapter or section, and experimental design is explained before any identification algorithms are discussed. The many simulation examples and industrial case studies demonstrate the power and efficiency of process identification, helping to make the theory more applicable. MatlabTM M-files, designed to help the reader to learn identification in a computing environment, are included.
Author: Karl Johan Åström Publisher: Princeton University Press ISBN: 0691193983 Category : Mathematics Languages : en Pages : 522
Book Description
This book provides an introduction to the mathematics needed to model, analyze, and design feedback systems. It is an ideal textbook for undergraduate and graduate students, and is indispensable for researchers seeking a self-contained reference on control theory. Unlike most books on the subject, Feedback Systems develops transfer functions through the exponential response of a system, and is accessible across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray use techniques from physics, computer science.
Author: Jose A. Romagnoli
Author: Peihua Qiu
Author: George Stephanopoulos
Author: William Y. Svrcek
Author: Jose A. Romagnoli
Author: Muhammad Aslam
Author: Dale E. Seborg
Author: George Buckbee
Author: Y. Zhu
Author: Karl Johan Åström