Industrial Control Systems Design

Statistical Process Control Role : Detection and isolation of faults Reliable and Robust Control and Adaptation Multivariable , robust , safety critical design , high integrity . Restricted authority self - tuning , Robust adaptive ...

Author: Michael J. Grimble

Publisher: John Wiley & Sons Incorporated


Category: Science

Page: 621

View: 461

Bridging the gap between research and industry, this volume systematically and comprehensively presents the latest advances in control and estimation. With emphasis on applications, industrial problems illustrate the use of transfer function and state space methods for modelling and design. Combining theroy with practice, Industrial Control Systems Design will appeal to practising engineers and academic researchers in control engineering. This unique reference: * spans fundamental state space and polynomial systems theory and introduces quantitative feedback theory. * Includes design case studies with illustrative problem descriptions and analysis from the steel, marine, process control, aerospace and power generation sectors. * Focuses on the challenges in predictive optimal control, now an indispensable method in advanced control applications. * Provides an introduction to safety-critical control systems design and combined fault monitoring and control techniques. * Discusses the design of LQG and H-controllers with several degrees of freedom, including feedback, tracking and feedforward functions.

Robust Industrial Control Systems

Industry Applications, 26(6), 1063–1069. Ferguson I.J. and De Tina R.F., 1986, Modern hot-strip mill thickness control, IEEE Trans. Industry Applications, IA-22(5), 934–940. Byrne J.C., 1989, Polynomial System Control Design with Marine ...

Author: Michael J. Grimble

Publisher: John Wiley & Sons

ISBN: 0470020741

Category: Science

Page: 698

View: 231

Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems presents a comprehensive introduction to the use of frequency domain and polynomial system design techniques for a range of industrial control and signal processing applications. The solution of stochastic and robust optimal control problems is considered, building up from single-input problems and gradually developing the results for multivariable design of the later chapters. In addition to cataloguing many of the results in polynomial systems needed to calculate industrial controllers and filters, basic design procedures are also introduced which enable cost functions and system descriptions to be specified in order to satisfy industrial requirements. Providing a range of solutions to control and signal processing problems, this book: * Presents a comprehensive introduction to the polynomial systems approach for the solution of H_2 and H_infinity optimal control problems. * Develops robust control design procedures using frequency domain methods. * Demonstrates design examples for gas turbines, marine systems, metal processing, flight control, wind turbines, process control and manufacturing systems. * Includes the analysis of multi-degrees of freedom controllers and the computation of restricted structure controllers that are simple to implement. * Considers time-varying control and signal processing problems. * Addresses the control of non-linear processes using both multiple model concepts and new optimal control solutions. Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems is essential reading for professional engineers requiring an introduction to optimal control theory and insights into its use in the design of real industrial processes. Students and researchers in the field will also find it an excellent reference tool.

Control Systems Design 2003 CSD 03

Qin , S. J. and T. A. Badgwell ( 1997 ) : An overview of industrial model predictive control technology , pp . 232–256 . CACHE , AIChE . Shinskey , F. G. ( 1996 ) : Process Control Systems . Application , Design , and Tuning , 4 edition ...

Author: Stefan Kozak

Publisher: Elsevier

ISBN: 9780080441757

Category: Science

Page: 572

View: 382

The material presented in this volume represents current ideas, knowledge, experience and research results in various fields of control system design.

Control Systems Design

9 Design of Multivariable Industrial Control Systems by the Method of Inequalities Oluwafemi Taiwo Abstract. This chapter reviews the application of the method of inequalities to the multivariable control of important industrial ...

Author: Vladimir Zakian

Publisher: Springer Science & Business Media

ISBN: 1846282152

Category: Technology & Engineering

Page: 398

View: 125

In recent decades, a comprehensive new framework for the theory and design of control systems has emerged. It treats a range of significant and ubiquitous design problems more effectively than the conventional framework. Control Systems Design brings together contributions from the originators of the new framework in which they explain, expand and revise their research work. It is divided into four parts: - basic principles, including those of matching and inequalities with adjustments for robust matching and matching based on H-infinity methods and linear matrix inequalities; - computational methods, including matching conditions for transient inputs and design of a sampled-data control system; - search methods including search with simulated annealing, genetic algorithms and evaluation of the node array method; - case studies, including applications in distillation, benchmarking critical control of magnetic levitation systems and the use of the principle of matching in cruise control.

Nonlinear Industrial Control Systems

Grimble MJ, Kucera V (eds) (1996) Polynomial methods for control systems design. Springer 13. MacGregor JG (1984) Duality between the control of processes subject to randomly occurring deterministic disturbances and ARIMA stochastic ...

Author: Michael J. Grimble

Publisher: Springer Nature

ISBN: 1447174577

Category: Technology & Engineering

Page: 764

View: 876

Nonlinear Industrial Control Systems presents a range of mostly optimisation-based methods for severely nonlinear systems; it discusses feedforward and feedback control and tracking control systems design. The plant models and design algorithms are provided in a MATLAB® toolbox that enable both academic examples and industrial application studies to be repeated and evaluated, taking into account practical application and implementation problems. The text makes nonlinear control theory accessible to readers having only a background in linear systems, and concentrates on real applications of nonlinear control. It covers: different ways of modelling nonlinear systems including state space, polynomial-based, linear parameter varying, state-dependent and hybrid; design techniques for nonlinear optimal control including generalised-minimum-variance, model predictive control, quadratic-Gaussian, factorised and H∞ design methods; design philosophies that are suitable for aerospace, automotive, marine, process-control, energy systems, robotics, servo systems and manufacturing; steps in design procedures that are illustrated in design studies to define cost-functions and cope with problems such as disturbance rejection, uncertainties and integral wind-up; and baseline non-optimal control techniques such as nonlinear Smith predictors, feedback linearization, sliding mode control and nonlinear PID. Nonlinear Industrial Control Systems is valuable to engineers in industry dealing with actual nonlinear systems. It provides students with a comprehensive range of techniques and examples for solving real nonlinear control design problems.

Active Braking Control Systems Design for Vehicles

Sergio M. Savaresi and Mara Tanelli have produced a comprehensive monograph that succeeds in showing how advanced control can contribute to the design of new braking system technologies. Industrial and academic readers will find the ...

Author: Sergio M. Savaresi

Publisher: Springer Science & Business Media

ISBN: 1849963509

Category: Technology & Engineering

Page: 254

View: 210

Active Braking Control Design for Road Vehicles focuses on two main brake system technologies: hydraulically-activated brakes with on–off dynamics and electromechanical brakes, tailored to brake-by-wire control. The physical differences of such actuators enjoin the use of different control schemes so as to be able fully to exploit their characteristics. The authors show how these different control approaches are complementary, each having specific peculiarities in terms of either performance or of the structural properties of the closed-loop system. They also consider other problems related to the design of braking control systems, namely: • longitudinal vehicle speed estimation and its relationship with braking control system design; • tire–road friction estimation; • direct estimation of tire–road contact forces via in-tire sensors, providing a treatment of active vehicle braking control from a wider perspective linked to both advanced academic research and industrial reality.

Industrial Digital Control Systems

Chapter 11 Computer aided design for industrial control systems Dr S. J. Sandoz 11.1 INTRODUCTION This chapter presents a review of particular techniques that may be employed for the modelling and analysis of industrial processes and ...

Author: K. Warwick

Publisher: IET

ISBN: 9780863411373

Category: Technology & Engineering

Page: 523

View: 781

Includes: Digital signals and systems. Digital controllers for process control applications. Design of digital controllers. Control of time delay systems. State-space concepts. System identification. Introduction to discrete optimal control. Multivariable control. Adaptive control. Computer aided design for industrial control systems. Reliability and redundancy in microprocessor controllers. Software and hardware aspects of industrial controller implementations. Application of distributed digital control algorithms to power stations. An expert system for process control.

Applied Control Systems Design

This growth in the use of models to accomplish different objectives in the design of industrial control systems has been accompanied by a similar growth in the science of system identification. System identification is often classed as ...

Author: Magdi S. Mahmoud

Publisher: Springer Science & Business Media

ISBN: 1447128796

Category: Technology & Engineering

Page: 560

View: 316

Applied Control System Design examines several methods for building up systems models based on real experimental data from typical industrial processes and incorporating system identification techniques. The text takes a comparative approach to the models derived in this way judging their suitability for use in different systems and under different operational circumstances. A broad spectrum of control methods including various forms of filtering, feedback and feedforward control is applied to the models and the guidelines derived from the closed-loop responses are then composed into a concrete self-tested recipe to serve as a check-list for industrial engineers or control designers. System identification and control design are given equal weight in model derivation and testing to reflect their equality of importance in the proper design and optimization of high-performance control systems. Readers’ assimilation of the material discussed is assisted by the provision of problems and examples. Most of these exercises use MATLAB® to make computation and visualization more straightforward. Applied Control System Design will be of interest to academic researchers for its comparison of different systems models and their response to different control methods and will assist graduate students in learning the practical necessities of advanced control system design. The consistent reference to real systems coupled with self-learning tools will assist control practitioners who wish to keep up to date with the latest control design ideas.

Industrial Control Systems Security and Resiliency

The resilient control design is the last mile protection for the industrial control systems. A resilient controller can reconfigure the physical layer control laws that can steer the control system away from the damages through quick ...

Author: Craig Rieger

Publisher: Springer Nature

ISBN: 3030182142

Category: Computers

Page: 276

View: 470

This book provides a comprehensive overview of the key concerns as well as research challenges in designing secure and resilient Industrial Control Systems (ICS). It will discuss today's state of the art security architectures and couple it with near and long term research needs that compare to the baseline. It will also establish all discussions to generic reference architecture for ICS that reflects and protects high consequence scenarios. Significant strides have been made in making industrial control systems secure. However, increasing connectivity of ICS systems with commodity IT devices and significant human interaction of ICS systems during its operation regularly introduces newer threats to these systems resulting in ICS security defenses always playing catch-up. There is an emerging consensus that it is very important for ICS missions to survive cyber-attacks as well as failures and continue to maintain a certain level and quality of service. Such resilient ICS design requires one to be proactive in understanding and reasoning about evolving threats to ICS components, their potential effects on the ICS mission’s survivability goals, and identify ways to design secure resilient ICS systems. This book targets primarily educators and researchers working in the area of ICS and Supervisory Control And Data Acquisition (SCADA) systems security and resiliency. Practitioners responsible for security deployment, management and governance in ICS and SCADA systems would also find this book useful. Graduate students will find this book to be a good starting point for research in this area and a reference source.

Industrial Control Systems

Balling and Sobieszcanaski - Sobieski ( 1994 ) introduce a combination of CO and OLD where the disciplinary subproblems minimize the discrepancy in the system - level targets as well as the disciplinary design infeasibility given the ...

Author: Adedeji B. Badiru

Publisher: CRC Press

ISBN: 1420075594

Category: Business & Economics

Page: 382

View: 932

Issues such as logistics, the coordination of different teams, and automatic control of machinery become more difficult when dealing with large, complex projects. Yet all these activities have common elements and can be represented by mathematics. Linking theory to practice, Industrial Control Systems: Mathematical and Statistical Models and Techni