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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 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 302 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.
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 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.
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 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 2017-04-24 with total page 308 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.
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.
Book Synopsis Robust Industrial Control Systems by : Michael J. Grimble
Download or read book Robust Industrial Control Systems written by Michael J. Grimble and published by John Wiley & Sons. This book was released on 2006-05-01 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Process-control Systems by : F. Greg Shinskey
Download or read book Process-control Systems written by F. Greg Shinskey and published by . This book was released on 1979 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt:
This is a comprehensive, practical, easy-to-read book on process control, covering some of the most important topics in the petrochemical process industry, including Fieldbus, Multiphase Flow Metering, and other recently developed control systems. A compilation of all the best instrumentation and control techniques used in industry today Interesting theoretical content as well as practical topics on planning, integration and application Includes the latest on Fieldbus, Profibus and Multiphase Flow Metering.
Book Synopsis Industrial Process Control: Advances and Applications by : Ghodrat Kalani
Download or read book Industrial Process Control: Advances and Applications written by Ghodrat Kalani and published by Gulf Professional Publishing. This book was released on 2002-10-11 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a comprehensive, practical, easy-to-read book on process control, covering some of the most important topics in the petrochemical process industry, including Fieldbus, Multiphase Flow Metering, and other recently developed control systems. A compilation of all the best instrumentation and control techniques used in industry today Interesting theoretical content as well as practical topics on planning, integration and application Includes the latest on Fieldbus, Profibus and Multiphase Flow Metering.
This work provides users and designers of industrial control and monitoring systems with an easy-to-use, yet effective, method to configure, design, and validate human-machine interfaces. It includes systems such as distributed control systems, supervisory control and data acquisition systems, and stand-alone units.
Book Synopsis Human-machine Interface Design for Process Control Applications by : Jean-Yves Fiset
Download or read book Human-machine Interface Design for Process Control Applications written by Jean-Yves Fiset and published by ISA. This book was released on 2009 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work provides users and designers of industrial control and monitoring systems with an easy-to-use, yet effective, method to configure, design, and validate human-machine interfaces. It includes systems such as distributed control systems, supervisory control and data acquisition systems, and stand-alone units.
Book Synopsis Music and Musicians by : Robert Schumann
Download or read book Music and Musicians written by Robert Schumann and published by London : W. Reeves. This book was released on 1880 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Manufacturing process controls include all systems and software that exert control over production processes. Control systems include process sensors, data processing equipment, actuators, networks to connect equipment, and algorithms to relate process variables to product attributes. Since 1995, the U.S. Department of Energy Office of Industrial Technology 's (OIT) program management strategy has reflected its commitment to increasing and documenting the commercial impact of OIT programs. OIT's management strategy for research and development has been in transition from a "technology push" strategy to a "market pull" strategy based on the needs of seven energy-and waste-intensive industries-steel, forest products, glass, metal casting, aluminum, chemicals, and petroleum refining. These industries, designated as Industries of the Future (IOF), are the focus of OIT programs. In 1997, agriculture, specifically renewable bioproducts, was added to the IOF group. The National Research Council Panel on Manufacturing Process Controls is part of the Committee on Industrial Technology Assessments (CITA), which was established to evaluate the OIT program strategy, to provide guidance during the transition to the new IOF strategy, and to assess the effects of the change in program strategy on cross-cutting technology programs, that is, technologies applicable to several of the IOF industries. The panel was established to identify key processes and needs for improved manufacturing control technology, especially the needs common to several IOF industries; identify specific research opportunities for addressing these common industry needs; suggest criteria for identifying and prioritizing research and development (R&D) to improve manufacturing controls technologies; and recommend means for implementing advances in control technologies.
Book Synopsis Manufacturing Process Controls for the Industries of the Future by : National Research Council
Download or read book Manufacturing Process Controls for the Industries of the Future written by National Research Council and published by National Academies Press. This book was released on 1998-08-14 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: Manufacturing process controls include all systems and software that exert control over production processes. Control systems include process sensors, data processing equipment, actuators, networks to connect equipment, and algorithms to relate process variables to product attributes. Since 1995, the U.S. Department of Energy Office of Industrial Technology 's (OIT) program management strategy has reflected its commitment to increasing and documenting the commercial impact of OIT programs. OIT's management strategy for research and development has been in transition from a "technology push" strategy to a "market pull" strategy based on the needs of seven energy-and waste-intensive industries-steel, forest products, glass, metal casting, aluminum, chemicals, and petroleum refining. These industries, designated as Industries of the Future (IOF), are the focus of OIT programs. In 1997, agriculture, specifically renewable bioproducts, was added to the IOF group. The National Research Council Panel on Manufacturing Process Controls is part of the Committee on Industrial Technology Assessments (CITA), which was established to evaluate the OIT program strategy, to provide guidance during the transition to the new IOF strategy, and to assess the effects of the change in program strategy on cross-cutting technology programs, that is, technologies applicable to several of the IOF industries. The panel was established to identify key processes and needs for improved manufacturing control technology, especially the needs common to several IOF industries; identify specific research opportunities for addressing these common industry needs; suggest criteria for identifying and prioritizing research and development (R&D) to improve manufacturing controls technologies; and recommend means for implementing advances in control technologies.
Detailed coverage of the practical aspects of multivariate statistical process control (MVSPC) based on the application of Hotelling's T2 statistic. MVSPC is the application of multivariate statistical techniques to improve the quality and productivity of an industrial process. Provides valuable insight into the T2 statistic.
Book Synopsis Multivariate Statistical Process Control with Industrial Applications by : Robert L. Mason
Download or read book Multivariate Statistical Process Control with Industrial Applications written by Robert L. Mason and published by SIAM. This book was released on 2002-01-01 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detailed coverage of the practical aspects of multivariate statistical process control (MVSPC) based on the application of Hotelling's T2 statistic. MVSPC is the application of multivariate statistical techniques to improve the quality and productivity of an industrial process. Provides valuable insight into the T2 statistic.
