Process Modelling Identification And Control

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Process Modelling Identification And Control

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Author : Ján Mikleš
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-06-30

Process Modelling Identification And Control written by Ján Mikleš and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-30 with Technology & Engineering categories.

Control and automation in its broadest sense plays a fundamental role in process industries. Control assures stability of technologies, disturbance - tenuation, safety of equipment and environment as well as optimal process operation from economic point of view. This book intends to present modern automatic control methods and their applications in process control in p- cess industries. The processes studied mainly involve mass and heat transfer processes and chemical reactors. It is assumed that the reader has already a basic knowledge about c- trolled processes and about di?erential and integral calculus as well as about matrixalgebra.Automaticcontrolproblemsinvolvemathematicsmorethanit is usual in other engineering disciplines. The book treats problems in a similar way as it is in mathematics. The problem is formulated at ?rst, then the t- orem is stated. Only necessary conditions are usually proved and su?ciency is left aside as it follows from the physical nature of the problem solved. This helps to follow the engineering character of problems. The intended audience of this book includes graduate students but can also be of interest to practising engineers or applied scientists.

Advanced Process Identification And Control

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Author : Enso Ikonen
language : en
Publisher: CRC Press
Release Date : 2001-10-02

Advanced Process Identification And Control written by Enso Ikonen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-10-02 with Science categories.

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.

Process Modelling Identification And Control

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Author : Ján Mikleš
language : en
Publisher:
Release Date : 2007

Process Modelling Identification And Control written by Ján Mikleš and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Chemical process control categories.

Industrial Process Identification And Control Design

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Author : Tao Liu
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-11-16

Industrial Process Identification And Control Design written by Tao Liu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-16 with Technology & Engineering categories.

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.

Identification And Control Using Volterra Models

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Author : F.J.III Doyle
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Identification And Control Using Volterra Models written by F.J.III Doyle and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.

Much has been written about the general difficulty of developing the models required for model-based control of processes whose dynamics exhibit signif icant nonlinearity (for further discussion and references, see Chapter 1). In fact, the development ofthese models stands as a significant practical imped iment to widespread industrial application oftechniques like nonlinear model predictive control (NMPC), whoselinear counterpart has profoundly changed industrial practice. One ofthe reasons for this difficulty lies in the enormous variety of "nonlinear models," different classes of which can be less similar to each other than they are to the class of linear models. Consequently, it is a practical necessity to restrict consideration to one or a few specific nonlinear model classes if we are to succeed in developing, understanding, and using nonlinear models as a basis for practical control schemes. Because they repre sent a highly structured extension ofthe class oflinear finite impulse response (FIR) models on which industrially popular linear MPC implementations are based, this book is devoted to the class of discrete-time Volterra models and a fewother, closelyrelated, nonlinear model classes. The objective ofthis book is to provide a useful reference for researchers in the field of process control and closely related areas, collecting a reasonably wide variety of results that may be found in different parts of the large literature that exists on the gen eral topics of process control, nonlinear systems theory, statistical time-series models, biomedical engineering, and digital signal processing, among others.

Process Identification And Pid Control

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Author : Su Whan Sung
language : en
Publisher: John Wiley & Sons
Release Date : 2009-07-23

Process Identification And Pid Control written by Su Whan Sung and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-23 with Science categories.

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

Process Modelling Identification And Control

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Author : Ján Mikleš
language : en
Publisher:
Release Date : 2000

Process Modelling Identification And Control written by Ján Mikleš and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Chemical process control categories.

An Introduction To Process Modelling Identification And Control For Engineers

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Author : Rames C. Panda
language : en
Publisher:
Release Date : 2017

An Introduction To Process Modelling Identification And Control For Engineers written by Rames C. Panda and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Chemical process control categories.

Process Modelling For Control

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Author : Benoît Codrons
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-08-30

Process Modelling For Control written by Benoît Codrons and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-08-30 with Computers categories.

Many process control books focus on control design techniques, taking the construction of a process model for granted. Process Modelling for Control concentrates on the modelling steps underlying a successful design, answering questions like: How should I carry out the identification of my process in order to obtain a good model? How can I assess the quality of a model with a view to using it in control design? How can I ensure that a controller will stabilise a real process and achieve a pre-specified level of performance before implementation? What is the most efficient method of order reduction to facilitate the implementation of high-order controllers? Different tools, namely system identification, model/controller validation and order reduction are studied in a framework with a common basis: closed-loop identification with a controller that is close to optimal will deliver models with bias and variance errors ideally tuned for control design. As a result, rules are derived, applying to all the methods, that provide the practitioner with a clear way forward despite the apparently unconnected nature of the modelling tools. Detailed worked examples, representative of various industrial applications, are given: control of a mechanically flexible structure; a chemical process; and a nuclear power plant. Process Modelling for Control uses mathematics of an intermediate level convenient to researchers with an interest in real applications and to practising control engineers interested in control theory. It will enable working control engineers to improve their methods and will provide academics and graduate students with an all-round view of recent results in modelling for control. Advances in Industrial Control aims to report and encourage 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.

Practical Grey Box Process Identification

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Author : Torsten Bohlin
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-05-22

Practical Grey Box Process Identification written by Torsten Bohlin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-22 with Computers categories.

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.