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Process Control And Identification
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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 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 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 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 Process Modelling, Identification, and Control by : Ján Mikleš
Download or read book Process Modelling, Identification, and Control written by Ján Mikleš and published by Springer Science & Business Media. This book was released on 2007-06-30 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: This compact and original reference and textbook presents the most important classical and modern essentials of control engineering in a single volume. It constitutes a harmonic mixture of control theory and applications, which makes the book especially useful for students, practicing engineers and researchers interested in modeling and control of processes. Well written and easily understandable, it includes a range of methods for the analysis and design of control 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 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 Process Control by : Jean-Pierre Corriou
Download or read book Process Control written by Jean-Pierre Corriou and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 763 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference book can be read at different levels, making it a powerful source of information. It presents most of the aspects of control that can help anyone to have a synthetic view of control theory and possible applications, especially concerning process engineering.
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 Advanced Practical Process Control by : Brian Roffel
Download or read book Advanced Practical Process Control written by Brian Roffel and published by Springer Science & Business Media. This book was released on 2011-06-27 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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 Practical Process Control for Engineers and Technicians by : Wolfgang Altmann
Download or read book Practical Process Control for Engineers and Technicians written by Wolfgang Altmann and published by Elsevier. This book was released on 2005-05-10 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Process Control Fundamentals by : Raghunathan Rengaswamy
Download or read book Process Control Fundamentals written by Raghunathan Rengaswamy and published by CRC Press. This book was released on 2020-05-31 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of process control has evolved gradually over the years, with emphasis on key aspects including designing and tuning of controllers. This textbook covers fundamental concepts of basic and multivariable process control, and important monitoring and diagnosis techniques. It discusses topics including state-space models, Laplace transform to convert state-space models to transfer function models, linearity and linearization, inversion formulae, conversion of output to time domain, stability analysis through partial fraction expansion, and stability analysis using Routh table and Nyquits plots. The text also covers basics of relative gain array, multivariable controller design and model predictive control. The text comprehensively covers minimum variable controller (MVC) and minimum variance benchmark with the help of solved examples for better understanding. Fundamentals of diagnosis of control loop problems are also explained and explanations are bolstered through solved examples. Pedagogical features including solved problems and unsolved exercises are interspersed throughout the text for better understanding. The textbook is primarily written for senior undergraduate and graduate students in the field of chemical engineering and biochemical engineering for a course on process control. The textbook will be accompanied by teaching resource such a collection of slides for the course material and a includsolution manual for the instructors.
Book Synopsis Modelling and Control of Dynamic Systems Using Gaussian Process Models by : Juš Kocijan
Download or read book Modelling and Control of Dynamic Systems Using Gaussian Process Models written by Juš Kocijan and published by Springer. This book was released on 2015-11-21 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph opens up new horizons for engineers and researchers in academia and in industry dealing with or interested in new developments in the field of system identification and control. It emphasizes guidelines for working solutions and practical advice for their implementation rather than the theoretical background of Gaussian process (GP) models. The book demonstrates the potential of this recent development in probabilistic machine-learning methods and gives the reader an intuitive understanding of the topic. The current state of the art is treated along with possible future directions for research. Systems control design relies on mathematical models and these may be developed from measurement data. This process of system identification, when based on GP models, can play an integral part of control design in data-based control and its description as such is an essential aspect of the text. The background of GP regression is introduced first with system identification and incorporation of prior knowledge then leading into full-blown control. The book is illustrated by extensive use of examples, line drawings, and graphical presentation of computer-simulation results and plant measurements. The research results presented are applied in real-life case studies drawn from successful applications including: a gas–liquid separator control; urban-traffic signal modelling and reconstruction; and prediction of atmospheric ozone concentration. A MATLAB® toolbox, for identification and simulation of dynamic GP models is provided for download.
Book Synopsis Identification and Control Using Volterra Models by : F.J.III Doyle
Download or read book Identification and Control Using Volterra Models written by F.J.III Doyle and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers recent results in the analysis, identification and control of systems described by Volterra models. Topics covered include: qualitative behavior of finite Volterra models compared and contrasted with other nonlinear model classes, structural restrictions and extensions to Volterra model class, least squares and stochastic identification approaches, model inversion issues, and direct synthesis and model predictive control design, guidelines for practical applications. Examples are drawn from Chemical, Biological and Electrical Engineering. The book is suitable as a text for a graduate control course, or as a reference for both research and practice.
Book Synopsis Single Loop Control Methods by : Kevin D Starr
Download or read book Single Loop Control Methods written by Kevin D Starr and published by . This book was released on 2015 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis System Identification and Adaptive Control by : Yiannis Boutalis
Download or read book System Identification and Adaptive Control written by Yiannis Boutalis and published by Springer Science & Business. This book was released on 2014-04-23 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive network (FCN) models are presented. Both models are suitable for partially-known or unknown complex time-varying systems. Neurofuzzy Adaptive Control contains rigorous proofs of its statements which result in concrete conclusions for the selection of the design parameters of the algorithms presented. The neurofuzzy model combines concepts from fuzzy systems and recurrent high-order neural networks to produce powerful system approximations that are used for adaptive control. The FCN model stems from fuzzy cognitive maps and uses the notion of “concepts” and their causal relationships to capture the behavior of complex systems. The book shows how, with the benefit of proper training algorithms, these models are potent system emulators suitable for use in engineering systems. All chapters are supported by illustrative simulation experiments, while separate chapters are devoted to the potential industrial applications of each model including projects in: • contemporary power generation; • process control and • conventional benchmarking problems. Researchers and graduate students working in adaptive estimation and intelligent control will find Neurofuzzy Adaptive Control of interest both for the currency of its models and because it demonstrates their relevance for real systems. The monograph also shows industrial engineers how to test intelligent adaptive control easily using proven theoretical results.
