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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.
This book offers a modern view of process control in the context of today's technology. It provides innovative chapters on the growth of educational, scientific, and industrial research among chemical engineers. It presents experimental data on thermodynamics and provides a broad understanding of the main computational techniques used for chemical
Based on articles from Hydrocarbon Processing magazine, this book is a collection of actual case histories, techniques and guidelines with a proven track record in the process industries. It provides practical, problem-solving advice from well-known authorities in their fields. Advanced Process Control and Information Systems for the Process Industries is an invaluable guide that provides an extensive digest of perspectives from various experts. This handy volume contains an overview of the latest developments in the field, along with the information on new technology - all contained in this one source. If you are involved in process control, instrumentation, or process and information systems, then this book is an important reference for your operations.
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.
An application-oriented approach to process control. The reference text systematically explains process identification, control and optimization, the three key steps needed to solve a multivariable control problem. Theory is discussed as far as it is needed to understand and solve the defined problem, while numerous examples written in MATLAB illustrate the problem-solving approach.
Intended for control system engineers working in the chemical, refining, paper, and utility industries, this book reviews the general characteristics of processes and control loops, provides an intuitive feel for feedback control behavior, and explains how to obtain the required control action witho
There has been a dynamic development of control over the past 50 years. Many new methods have appeared. The methods have traditionally been presented in highly specialized books written for researchers or engineers with advanced degrees in control theory. These books have been very useful to advance the state of the art but are difficult, however, for an average engineer. It is thus highly desirable to present the industrially proven control methods to ordinary engineers working in industry. Advanced Control Unleashedprovides a basis for assessing the benefits of advanced control. The book covers auto-tuning, model predictive control, optimization, estimators, neural networks, fuzzy control, simulators, expert systems, diagnostics, and performance assessment. It is written by four seasoned practitioners of control, having jointly more than 100 years of real industrial experience in the development and use of advanced control. The book is well positioned to provide the bridge over the infamous Gap between Theory and Practice in control. As an added bonus, the book includes a CD that helps bridge theoretical concepts and practical implementations by providing real DeltaV simulations and displays. This interactive CD offers practical design, simulation, and implementation examples that make key examples in the book come alive. Configuration and case files are supplied for a hands-on experience and PowerPoint files suitable for lectures on each unit are also included.
A presentation of techniques in advanced process modelling, identification, prediction, and parameter estimation for the implementation and analysis of industrial systems. The authors cover applications for the identification of linear and non-linear systems, the design of generalized predictive controllers (GPCs), and the control of multivariable systems.
Designed to be used as a text for advanced undergraduate and graduate courses in process control, as well as a reference for practising control engineers. It requires a strong background in mathematics and chemical engineering and aims to provide broad coverage of applied modern control theory.
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.