Advanced PID Control

Author: Karl Johan Åström,Tore Hägglund

Publisher: ISA

ISBN: 9781556179426

Category: Technology & Engineering

Page: 460

View: 8391

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The authors of the best-selling bookPID Controllers: Theory, Design, and Tuningonce again combine their extensive knowledge in the PID arena to bring you an in-depth look at the world of PID control. A new book,Advanced PID Controlbuilds on the basics learned in PID Controllers but augments it through use of advanced control techniques. Design of PID controllers are brought into the mainstream of control system design by focusing on requirements that capture effects of load disturbances, measurement noise, robustness to process variations and maintaining set points. In this way it is possible to make a smooth transition from PID control to more advanced model based controllers. It is also possible to get insight into fundamental limitations and to determine the information needed to design good controllers. The book provides a solid foundation for understanding, operating and implementing the more advanced features of PID controllers, including auto-tuning, gain scheduling and adaptation. Particular attention is given to specific challenges such as reset windup, long process dead times, and oscillatory systems. As in their other book, modeling methods, implementation details, and problem-solving techniques are also presented.
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Control Systems Design 2003 (CSD '03)

A Proceedings Volume from the 2nd IFAC Conference, Bratislava, Slovak Republic, 7-10 September 2003

Author: Štefan Kozák,M. Huba

Publisher: Elsevier

ISBN: 9780080441757

Category: Science

Page: 562

View: 6631

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The material presented in this volume represents current ideas, knowledge, experience and research results in various fields of control system design.
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Control of Integral Processes with Dead Time

Author: Antonio Visioli,Qingchang Zhong

Publisher: Springer Science & Business Media

ISBN: 9780857290700

Category: Technology & Engineering

Page: 250

View: 1733

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Control of Integral Processes with Dead Time provides a unified and coherent review of the various approaches devised for the control of integral processes, addressing the problem from different standpoints. In particular, the book treats the following topics: How to tune a PID controller and assess its performance; How to design a two-degree-of-freedom control scheme in order to deal with both the set-point following and load disturbance rejection tasks; How to modify the basic Smith predictor control scheme in order to cope with the presence of an integrator in the process; and how to address the presence of large process dead times. The methods are presented sequentially, highlighting the evolution of their rationale and implementation and thus clearly characterising them from both academic and industrial perspectives.
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Model Predictive Control System Design and Implementation Using MATLAB®

Author: Liuping Wang

Publisher: Springer Science & Business Media

ISBN: 1848823312

Category: Technology & Engineering

Page: 378

View: 886

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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.
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Handbook of PI and PID Controller Tuning Rules

Author: Aidan O'Dwyer

Publisher: World Scientific

ISBN: 1848162421

Category: Technology & Engineering

Page: 608

View: 606

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The majority of automatic controllers used to compensate industrial processes are of PI or PID type. This book compiles, using a unified notation, tuning rules for these controllers. It discusses controller architecture and process modeling issues, as well as the performance and robustness of loops compensated with PI or PID controllers.
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Non-parametric Tuning of PID Controllers

A Modified Relay-Feedback-Test Approach

Author: Igor Boiko

Publisher: Springer Science & Business Media

ISBN: 1447144651

Category: Technology & Engineering

Page: 188

View: 6915

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The relay feedback test (RFT) has become a popular and efficient in process identification and automatic controller tuning. Non-parametric Tuning of PID Controllers couples new modifications of classical RFT with application-specific optimal tuning rules to form a non-parametric method of test-and-tuning. Test and tuning are coordinated through a set of common parameters so that a PID controller can obtain the desired gain or phase margins in a system exactly, even with unknown process dynamics. The concept of process-specific optimal tuning rules in the nonparametric setup, with corresponding tuning rules for flow, level pressure, and temperature control loops is presented in the text. Common problems of tuning accuracy based on parametric and non-parametric approaches are addressed. In addition, the text treats the parametric approach to tuning based on the modified RFT approach and the exact model of oscillations in the system under test using the locus of a perturbedrelay system (LPRS) method. Industrial loop tuning for distributed control systems using modified RFT is also described. Many of the problems of tuning rules optimization and identification with modified RFT are accompanied by MATLAB® code, downloadable from http://extras.springer.com/978-1-4471-4464-9 to allow the reader to duplicate the results. Non-parametric Tuning of PID Controllers is written for readers with previous knowledge of linear control and will be of interest to academic control researchers and graduate students and to practitioners working in a variety of chemical- mechanical- and process-engineering-related industries.
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PID Control

New Identification and Design Methods

Author: Michael A Johnson,Mohammad H. Moradi

Publisher: Springer Science & Business Media

ISBN: 9781846281488

Category: Technology & Engineering

Page: 544

View: 4820

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The effectiveness of proportional-integral-derivative (PID) controllers for a large class of process systems has ensured their continued and widespread use in industry. Similarly there has been a continued interest from academia in devising new ways of approaching the PID tuning problem. To the industrial engineer and many control academics this work has previously appeared fragmented; but a key determinant of this literature is the type of process model information used in the PID tuning methods. PID Control presents a set of coordinated contributions illustrating methods, old and new, that cover the range of process model assumptions systematically. After a review of PID technology, these contributions begin with model-free methods, progress through non-parametric model methods (relay experiment and phase-locked-loop procedures), visit fuzzy-logic- and genetic-algorithm-based methods; introduce a novel subspace identification method before closing with an interesting set of parametric model techniques including a chapter on predictive PID controllers. Highlights of PID Control include: an introduction to PID control technology features and typical industrial implementations; chapter contributions ordered by the increasing quality of the model information used; novel PID control concepts for multivariable processes. PID Control will be useful to industry-based engineers wanting a better understanding of what is involved in the steps to a new generation of PID controller techniques. Academics wishing to have a broader perspective of PID control research and development will find useful pedagogical material and research ideas in this text.
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Soft Computing and Industry

Recent Applications

Author: Rajkumar Roy,Mario Köppen,Seppo Ovaska,Takeshi Furuhashi,Frank Hoffmann

Publisher: Springer Science & Business Media

ISBN: 9781852335397

Category: Computers

Page: 852

View: 3559

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Soft computing embraces various methodologies for the development of intelligent systems that have been successfully applied to a large number of real-world problems. This text contains a collection of papers that were presented at the 6th On-line World Conference on Soft Computing in Industrial Applications that was held in September 2001. It provides a comprehensive overview of recent theoretical developments in soft computing as well as of successful industrial applications. It is divided into seven parts covering material on: keynote papers on various subjects ranging from computing with autopoietic systems to the effects of the Internet on education intelligent control classification, clustering and optimization image and signal processing agents, multimedia and Internet theoretical advances prediction, design and diagnosis. The book is aimed at researchers and professional engineers who develop and apply intelligent systems in computer engineering.
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Greenhouse Design and Control

Author: Pedro Ponce,Arturo Molina,Paul Cepeda,Esther Lugo,Brian MacCleery

Publisher: CRC Press

ISBN: 1315771551

Category: Science

Page: 354

View: 4676

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Agricultural production is one of the main keys to the development of healthy societies. It is anticipated that agricultural systems will increasingly have to contend with temperature, humidity and water stress in the near future. This makes the need to increase the efficiency of land and water use ever more urgent. The control and design of greenhouses allows to increase dramatically the quality of crops and extend the cultivation period year-round. A properly designed autonomous greenhouse based on hydroponics can greatly reduce the amounts of nutrients and energy expended in agricultural production. This book deals with different types of greenhouses, materials, structures, advanced control techniques and tendencies that are needed for designing and controlling an advanced greenhouse. The control system is presented as an integral system which covers the explanation of basic and advanced concepts for a real time controller. Also, structural analysis is introduced, whereby mechanical design is regarded as a key factor. The book incorporates simulations and experimental results, and utilizes LabVIEW and ADAMS software. Finally, it provides a perspective on the present state and future of greenhouses globally. Written in a highly accessible manner, this book will prove useful to horticulturalists, agricultural engineers, greenhouse engineers and designers. Its easy-to-absorb contents are also suitable for (under)graduate students and researchers in agricultural and electronic engineering, horticulture, crop cultivation and soft computing.
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PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink

Author: Liuping Wang,Shan Chai,Dae Yoo,Lu Gan,Ki Ng

Publisher: John Wiley & Sons

ISBN: 1118339479

Category: Science

Page: 368

View: 9328

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A timely introduction to current research on PID andpredictive control by one of the leading authors on thesubject PID and Predictive Control of Electric Drives and PowerSupplies using MATLAB/Simulink examines the classical controlsystem strategies, such as PID control, feed-forward control andcascade control, which are widely used in current practice. The authors share their experiences in actual design andimplementation of the control systems on laboratory test-beds,taking the reader from the fundamentals through to moresophisticated design and analysis. The bookcontains sections on closed-loop performance analysis in bothfrequency domain and time domain, presented to help the designer inselection of controller parameters and validation of the controlsystem. Continuous-time model predictive control systems aredesigned for the drives and power supplies, and operationalconstraints are imposed in the design. Discrete-time model predictive control systems are designed basedon the discretization of the physical models, which will appeal toreaders who are more familiar with sampled-data control system.Soft sensors and observers will be discussed for low costimplementation. Resonant control of the electric drives andpower supply will be discussed to deal with the problems of bias insensors and unbalanced three phase AC currents. Brings together both classical control systems and predictivecontrol systems in a logical style from introductory through toadvanced levels Demonstrates how simulation and experimental results are usedto support theoretical analysis and the proposed designalgorithms MATLAB and Simulink tutorials are given in each chapter to showthe readers how to take the theory to applications. Includes MATLAB and Simulink software using xPC Target forteaching purposes A companion website is available Researchers and industrial engineers; and graduate students onelectrical engineering courses will find this a valuableresource.
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