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Author: Dumitru Popescu Publisher: John Wiley & Sons ISBN: 1119407931 Category : Technology & Engineering Languages : en Pages : 302
Book Description
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.
Author: Dumitru Popescu Publisher: John Wiley & Sons ISBN: 1119407931 Category : Technology & Engineering Languages : en Pages : 302
Book Description
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.
Author: Tao Liu Publisher: Springer Science & Business Media ISBN: 0857299778 Category : Technology & Engineering Languages : en Pages : 487
Book Description
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.
Author: Alan M. Kugelman Publisher: John Wiley & Sons ISBN: 1394246498 Category : Technology & Engineering Languages : en Pages : 645
Book Description
Practical guidance on how to apply process control fundamentals to solve real-world control problems Practical Process Control Design with Industrial Applications presents process control essentials and control strategy design fundamentals for modern-day DCS work environments. It uses a unique instructional approach—a process analysis and process understanding framework that enables readers to better understand and more effectively use process control fundamentals. Process analysis, operating objectives, and business drivers guide the identification of control objectives and facilitate control strategy designs of realistic control applications for real-world unit operations. Filling a gap in the literature, coverage includes: Merging process analysis, process understanding, and real-world plant operations with process control essentials and design fundamentals Detailed discussion of real-world design issues and realistic process-specific control strategies Methods used to ensure acceptable control performance continues when various “what if” issues arise How process control design fundamentals are applied in important unit-specific control strategies How best to apply specific control attributes (control direction), control options (PID proportional action), standard DCS functionality (algorithms and/or function blocks), and corporate or site standards (input signal validation) to develop control strategies that achieve control objectives with acceptable control performance. Practical Process Control Design with Industrial Applications is an essential reference for control engineers and process engineers who support process control activities in an operating plant, DCS vendor control application specialists, and EPC company project engineers who support process control activities in capital projects.
Author: Dumitru Popescu Publisher: John Wiley & Sons ISBN: 1786300141 Category : Technology & Engineering Languages : en Pages : 308
Book Description
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.
Author: Ghodrat Kalani Publisher: Gulf Professional Publishing ISBN: 9780750674461 Category : Science Languages : en Pages : 200
Book Description
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.
Author: Jean-Yves Fiset Publisher: ISA ISBN: 9781934394359 Category : Computers Languages : en Pages : 194
Book Description
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.
Author: Robert L. Mason Publisher: SIAM ISBN: 0898714966 Category : Technology & Engineering Languages : en Pages : 271
Book Description
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.
Author: National Research Council Publisher: National Academies Press ISBN: 0309173752 Category : Technology & Engineering Languages : en Pages : 72
Book Description
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.