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Industrial Process Identification
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Book Synopsis Industrial Process Identification and Control Design by : Tao Liu
Download or read book Industrial Process Identification and Control Design written by Tao Liu and published by Springer Science & Business Media. This book was released on 2011-11-16 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Practical Grey-box Process Identification by : Torsten P. Bohlin
Download or read book Practical Grey-box Process Identification written by Torsten P. Bohlin and published by Springer Science & Business Media. This book was released on 2006-09-07 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the theoretical fundamentals of grey-box identification and puts the spotlight on MoCaVa, a MATLAB-compatible software tool, for facilitating the procedure of effective grey-box identification. It demonstrates the application of MoCaVa using two case studies drawn from the paper and steel industries. In addition, the book answers common questions which will help in building accurate models for systems with unknown inputs.
Book Synopsis Multivariable System Identification For Process Control by : Y. Zhu
Download or read book Multivariable System Identification For Process Control written by Y. Zhu and published by Elsevier. This book was released on 2001-10-08 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Process Identification and PID Control by : Su Whan Sung
Download or read book Process Identification and PID Control written by Su Whan Sung and published by John Wiley & Sons. This book was released on 2009-07-23 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Process Identification and PID Control enables students and researchers to understand the basic concepts of feedback control, process identification, autotuning as well as design and implement feedback controllers, especially, PID controllers. The first The first two parts introduce the basics of process control and dynamics, analysis tools (Bode plot, Nyquist plot) to characterize the dynamics of the process, PID controllers and tuning, advanced control strategies which have been widely used in industry. Also, simple simulation techniques required for practical controller designs and research on process identification and autotuning are also included. Part 3 provides useful process identification methods in real industry. It includes several important identification algorithms to obtain frequency models or continuous-time/discrete-time transfer function models from the measured process input and output data sets. Part 4 introduces various relay feedback methods to activate the process effectively for process identification and controller autotuning. Combines the basics with recent research, helping novice to understand advanced topics Brings several industrially important topics together: Dynamics Process identification Controller tuning methods Written by a team of recognized experts in the area Includes all source codes and real-time simulated processes for self-practice Contains problems at the end of every chapter PowerPoint files with lecture notes available for instructor use
Book Synopsis Advanced Process Identification and Control by : Enso Ikonen
Download or read book Advanced Process Identification and Control written by Enso Ikonen and published by CRC Press. This book was released on 2001-10-02 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis From Plant Data to Process Control by : Liuping Wang
Download or read book From Plant Data to Process Control written by Liuping Wang and published by CRC Press. This book was released on 2000-08-31 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).
Book Synopsis Industrial Process Identification by : Ai Hui Tan
Download or read book Industrial Process Identification written by Ai Hui Tan and published by Springer. This book was released on 2019-01-01 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industrial Process Identification brings together the latest advances in perturbation signal design. It describes the approaches to the design process that are relevant to industries. The authors’ discussion of several software packages (Frequency Domain System Identification Toolbox, prs, GALOIS, multilev_new, and Input-Signal-Creator) will allow readers to understand the different designs in industries and begin designing common classes of signals. The authors include two case studies that provide a balance between the theory and practice of these designs: the identification of a direction-dependent electronic nose system; and the identification of a multivariable cooling system with time-varying delay. Major aspects of signal design such as the formulation of suitable specifications in the face of practical constraints, the classes of designs available, the various objectives necessitating separate treatments when dealing with nonlinear systems, and extension to multi-input scenarios, are discussed. Codes, including some that will produce simulated data, are included to help readers replicate the results described. Industrial Process Identification is a powerful source of information for control engineers working in the process and communications industries seeking guidance on choosing identification software tools for use in practical experiments and case studies. The book will also be of interest to academic researchers and students working in electrical, mechanical and communications engineering and the application of perturbation signal design. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
Book Synopsis Process Control and Identification by : W. Fred Ramirez
Download or read book Process Control and Identification written by W. Fred Ramirez and published by . This book was released on 1994 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic systems concepts. Steady state optimization. Dynamic optimization. Optimal control. The linear quadratic regulator (LQR) problem. Model predictive control. Robust control. Problems linear in the control variables. The discrete maximum principle. State and parameter identification. Sequential least squares parameter estimation. The linear quadratic Gaussian (LQG) problem.
Book Synopsis Identification of Multivariable Industrial Processes by : Yucai Zhu
Download or read book Identification of Multivariable Industrial Processes written by Yucai Zhu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Identification of Multivariable Industrial Processes presents a unified approach to multivariable industrial process identification. It concentrates on industrial processes with reference to model applications. The areas covered are experiment design, model structure selection, parameter estimation as well as error bounds of the transfer function. This publication is intended to fill the gap between modern systems and control theory and industrial application. It is based on the results of 10 years of research and application experiences. The theories and models discussed are fully explained and illustrated with case studies. At an early stage the reader is introduced to real applications.
Book Synopsis Process Control Design for Industrial Applications by : Dumitru Popescu
Download or read book Process Control Design for Industrial Applications written by Dumitru Popescu and published by John Wiley & Sons. This book was released on 2017-04-12 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the most important methods used for the design of digital controls implemented in industrial applications. The best modelling and identification techniques for dynamical systems are presented as well as the algorithms for the implementation of the modern solutions of process control. The proposed described methods are illustrated by various case studies for the main industrial sectors There exist a number of books related each one to a single type of control, yet usually without comparisons for various industrial sectors. Some other books present modelling and identification methods or signal processing. This book presents the methods to solve all the problems linked to the design of a process control without the need to find additional information.
Book Synopsis Overview of Industrial Process Automation by : K.L.S. Sharma
Download or read book Overview of Industrial Process Automation written by K.L.S. Sharma and published by Elsevier. This book was released on 2016-10-25 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 :Jairo Jose Espinosa Oviedo Publisher :Springer Science & Business Media ISBN 13 :1846280877 Total Pages :274 pages Book Rating :4.8/5 (462 download)
Book Synopsis Fuzzy Logic, Identification and Predictive Control by : Jairo Jose Espinosa Oviedo
Download or read book Fuzzy Logic, Identification and Predictive Control written by Jairo Jose Espinosa Oviedo and published by Springer Science & Business Media. This book was released on 2007-01-04 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement” rather than simple "yes/no”, "on/off” responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. The ability of fuzzy systems to handle numeric and linguistic information within a single framework renders them efficacious for this purpose. Fuzzy Logic, Identification and Predictive Control first shows you how to construct static and dynamic fuzzy models using the numerical data from a variety of real industrial systems and simulations. The second part exploits such models to design control systems employing techniques like data mining. This monograph presents a combination of fuzzy control theory and industrial serviceability that will make a telling contribution to your research whether in the academic or industrial sphere and also serves as a fine roundup of the fuzzy control area for the graduate student.
Book Synopsis Industrial Process Scale-up by : Jan Harmsen
Download or read book Industrial Process Scale-up written by Jan Harmsen and published by Elsevier. This book was released on 2013-04-25 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will help industrial process innovators in research, development and commercial start-up to assess the risks of commercial-scale implementation and provide them with practical guidelines and methods to reduce the risks to acceptable levels. The book can also be used in co-operation with industrial R&D people and academic researchers to shape open innovation programs and in education as a reference book for process innovation courses. - Offers easily accessible, step-by-step, and concise guidelines for industrial process scale-up - Explains each stage of the innovation funnel: research, development, demonstration, commercial implementation for any process type and branch - Based on industrial experiences and practices, which reduces the risks of commercial scale implementation of new processes to acceptable levels and reduces cost and time of process innovation - Very clear, attractive layout, using text boxes that contain clarifying notes and additional information on specific topics, which makes it a quick reference of main subjects and additional information
Book Synopsis Loss prevention in the process industries by : Frank P. Lees
Download or read book Loss prevention in the process industries written by Frank P. Lees and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Data-Driven Fault Detection for Industrial Processes by : Zhiwen Chen
Download or read book Data-Driven Fault Detection for Industrial Processes written by Zhiwen Chen and published by Springer. This book was released on 2017-01-02 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zhiwen Chen aims to develop advanced fault detection (FD) methods for the monitoring of industrial processes. With the ever increasing demands on reliability and safety in industrial processes, fault detection has become an important issue. Although the model-based fault detection theory has been well studied in the past decades, its applications are limited to large-scale industrial processes because it is difficult to build accurate models. Furthermore, motivated by the limitations of existing data-driven FD methods, novel canonical correlation analysis (CCA) and projection-based methods are proposed from the perspectives of process input and output data, less engineering effort and wide application scope. For performance evaluation of FD methods, a new index is also developed.
Book Synopsis Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques by : Silvio Simani
Download or read book Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques written by Silvio Simani and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Safety in industrial process and production plants is a concern of rising importance but because the control devices which are now exploited to improve the performance of industrial processes include both sophisticated digital system design techniques and complex hardware, there is a higher probability of failure. Control systems must include automatic supervision of closed-loop operation to detect and isolate malfunctions quickly. A promising method for solving this problem is "analytical redundancy", in which residual signals are obtained and an accurate model of the system mimics real process behaviour. If a fault occurs, the residual signal is used to diagnose and isolate the malfunction. This book focuses on model identification oriented to the analytical approach of fault diagnosis and identification covering: choice of model structure; parameter identification; residual generation; and fault diagnosis and isolation. Sample case studies are used to demonstrate the application of these techniques.
Book Synopsis Lee's Loss Prevention in the Process Industries by : Sam Mannan
Download or read book Lee's Loss Prevention in the Process Industries written by Sam Mannan and published by Elsevier Butterworth Heinemann. This book was released on 2012 with total page 3642 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lees' is industry's first stop for process safety information. Lees' 4e is the comprehensive and scaleable source of professional industrial process safety and loss prevention information. Available in print and electronic formats, and online with additional new tools and an annual update schedule, Lees' provides users with the information they require to ensure process safety. Volume 1 covers legislation, engineering and design: Key topics include law; major hazard control; economics and insurance; reliability engineering; hazard identification; hazard assessment; process design; pressure system design; control system design; emission and dispersion; and fire. Volume 2 covers operation and practical safety: Key topics include explosion, toxic release, plant operation, storage, transport, emergency planning, personal safety, accident research, reactive chemicals, safety instrumented systems, and chemical security. Volume 3 contains the case histories and data, including ACMH model license conditions; HSE guidelines' public planning inquiries; standards and codes; process safety management (PSM) regulations in the United States; risk management program regulations * THE process safety encyclopedia, trusted worldwide for over 30 years * Now available in print and online, to aid searchability and portability * Over 3600 print pages cover the full scope of process safety and loss prevention, compiling theory, practice, standards, legislation, case studies and lessons learned, in one resource as opposed to multiple sources.
