From Plant Data To Process Control
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| Author | : Liuping Wang |
| Publisher | : CRC Press |
| Total Pages | : 250 |
| Release | : 2000-08-31 |
| Genre | : Computers |
| ISBN | : 9780748407019 |
Process engineering spans industrial applications in the manufacturing sector from petrochemical to polymer to mineral production. From Plant Data to Process Control covers the most up-to-date techniques and algorithms in the area of process identification (PID) and process control, two key components of process engineering, essential for optimizing production systems. It examines both the theoretical advances in process design and control theory, and a wide variety of implementations. A wide variety of approaches are presented for building models of dynamical systems based on observed data (process identification) and for making the output of a system behave in a desired fashion by properly selecting the process input (process control).
| Author | : William L. Luyben |
| Publisher | : McGraw-Hill Professional Publishing |
| Total Pages | : 420 |
| Release | : 1999 |
| Genre | : Science |
| ISBN | : |
With four realistic case studies ... Tennessee-Eastman, isomerization, vinyl acetate, and HDA processes (the first time a workable control structure for HDA has ever been published) ... Plantwide Process Control gives chemical engineers, and students, the tools they need to design effective control schemes.
| Author | : Norman P. Lieberman |
| Publisher | : John Wiley & Sons |
| Total Pages | : 338 |
| Release | : 2017-03-14 |
| Genre | : Technology & Engineering |
| ISBN | : 1119267773 |
Examines real life problems and solutions for operators and engineers running process controls Expands on the first book with the addition of five new chapters as well as new troubleshooting examples Written for the working operator and engineer, with straightforward instruction not hinged on complex math Includes real-life examples of control problems that commonly arise and how to fix them Emphasizes single and well-established process engineering principles that will help working engineers and operators switch manual control loops to automatic control
| Author | : William Y. Svrcek |
| Publisher | : John Wiley & Sons |
| Total Pages | : 272 |
| Release | : 2013-03-15 |
| Genre | : Technology & Engineering |
| ISBN | : 111868138X |
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 |
| Total Pages | : 857 |
| Release | : 2020-07-14 |
| Genre | : Science |
| ISBN | : 1000078957 |
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 | : 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 | : Cecil L. Smith |
| Publisher | : John Wiley & Sons |
| Total Pages | : 380 |
| Release | : 2011-02-25 |
| Genre | : Technology & Engineering |
| ISBN | : 1118035216 |
This book fills the gap between basic control configurations (Practical Process Control) and model predictive control (MPC). For those loops whose performance has a direct impact on plant economics or product quality, going beyond simple feedback or cascade can improve control performance, or specifically, reduce the variance about the target. However, the effort required to implement such control technology must be offset by increased economic returns from production operations. The economic aspects of the application of the various advanced control technologies are stressed throughout the book.
| Author | : Myke King |
| Publisher | : John Wiley & Sons |
| Total Pages | : 629 |
| Release | : 2016-07-12 |
| Genre | : Technology & Engineering |
| ISBN | : 1119157749 |
This expanded new edition is specifically designed to meet the needs of the process industry, and closes the gap between theory and practice. Back-to-basics approach, with a focus on techniques that have an immediate practical application, and heavy maths relegated to the end of the book Written by an experienced practitioner, highly regarded by major corporations, with 25 years of teaching industry courses Supports the increasing expectations for Universities to teach more practical process control (supported by IChemE)
| Author | : Daniel Sbárbaro |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 327 |
| Release | : 2010-08-20 |
| Genre | : Technology & Engineering |
| ISBN | : 1849961069 |
Advanced Control and Supervision of Mineral Processing Plants describes the use of dynamic models of mineral processing equipment in the design of control, data reconciliation and soft-sensing schemes; through examples, it illustrates tools integrating simulation and control system design for comminuting circuits and flotation columns. Coverage is given to the design of soft sensors based on either single-point measurements or more complex measurements like images. Issues concerning data reconciliation and its employment in the creation of instrument architecture and fault diagnosis are surveyed. In consideration of the widespread use of distributed control and information management systems in mineral processing, the book describes the platforms and toolkits available for implementing such systems. Applications of the techniques described in real plants are used to highlight their benefits; information for all of the examples, together with supporting MATLAB® code can be found at www.springer.com/978-1-84996-105-9.
| Author | : Liuping Wang |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 398 |
| Release | : 2009-02-14 |
| Genre | : Technology & Engineering |
| ISBN | : 1848823312 |
Model Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters. After the theoretical presentation, coverage is given to three industrial applications. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained. The technical contents of this book is mainly based on advances in MPC using state-space models and basis functions. This volume includes numerous analytical examples and problems and MATLAB® programs and exercises.
