On Line Process Simulation Techniques In Industrial Control PDF Download
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Author | : E. ... J. Kompass |
Publisher | : |
Total Pages | : 117 |
Release | : 1985 |
Genre | : |
ISBN | : |
Download On-Line Process Simulation Techniques in Industrial Control Book in PDF, ePub and Kindle
Author | : E. J. Kompass |
Publisher | : Reed Business Information |
Total Pages | : 136 |
Release | : 1985 |
Genre | : Technology & Engineering |
ISBN | : |
Download On-line Process Simulation Techniques in Industrial Control Book in PDF, ePub and Kindle
Author | : |
Publisher | : |
Total Pages | : 117 |
Release | : 1985 |
Genre | : Process control |
ISBN | : 9780914331117 |
Download On-line Process Simulation Techniques in Industrial Control, Including Parameter Identification and Estimation Techniques Book in PDF, ePub and Kindle
Author | : |
Publisher | : |
Total Pages | : |
Release | : |
Genre | : |
ISBN | : |
Download On-line Process Simulation Techniques in Industrial Control Book in PDF, ePub and Kindle
Author | : E. J. Kompass |
Publisher | : |
Total Pages | : 166 |
Release | : 1985 |
Genre | : |
ISBN | : |
Download On-line Process Simulation Techniques in Industrial Control, Including Parameter Identification and Estimation Techniques Book in PDF, ePub and Kindle
Author | : Edward J. Kompass |
Publisher | : |
Total Pages | : 117 |
Release | : 1985 |
Genre | : |
ISBN | : |
Download On-line Process Simulation Techniques in Industrial Control, Including Parameter Identification and Estimation Techniques Book in PDF, ePub and Kindle
Author | : |
Publisher | : |
Total Pages | : 118 |
Release | : 1985 |
Genre | : Automatic control |
ISBN | : |
Download On-line Process Simulation Techniques in Industrial Control, Including Parameter Identification and Estimation Techniques Book in PDF, ePub and Kindle
Author | : Peng Zhang |
Publisher | : William Andrew |
Total Pages | : 866 |
Release | : 2010-08-26 |
Genre | : Science |
ISBN | : 1437778089 |
Download Advanced Industrial Control Technology Book in PDF, ePub and Kindle
Control engineering seeks to understand physical systems, using mathematical modeling, in terms of inputs, outputs and various components with different behaviors. It has an essential role in a wide range of control systems, from household appliances to space flight. This book provides an in-depth view of the technologies that are implemented in most varieties of modern industrial control engineering. A solid grounding is provided in traditional control techniques, followed by detailed examination of modern control techniques such as real-time, distributed, robotic, embedded, computer and wireless control technologies. For each technology, the book discusses its full profile, from the field layer and the control layer to the operator layer. It also includes all the interfaces in industrial control systems: between controllers and systems; between different layers; and between operators and systems. It not only describes the details of both real-time operating systems and distributed operating systems, but also provides coverage of the microprocessor boot code, which other books lack. In addition to working principles and operation mechanisms, this book emphasizes the practical issues of components, devices and hardware circuits, giving the specification parameters, install procedures, calibration and configuration methodologies needed for engineers to put the theory into practice. Documents all the key technologies of a wide range of industrial control systems Emphasizes practical application and methods alongside theory and principles An ideal reference for practicing engineers needing to further their understanding of the latest industrial control concepts and techniques
Author | : Philip J Thomas |
Publisher | : Elsevier |
Total Pages | : 415 |
Release | : 1999-07-13 |
Genre | : Science |
ISBN | : 0080517242 |
Download Simulation of Industrial Processes for Control Engineers Book in PDF, ePub and Kindle
Computer simulation is the key to comprehending and controlling the full-scale industrial plant used in the chemical, oil, gas and electrical power industries. Simulation of Industrial Processes for Control Engineers shows how to use the laws of physics and chemistry to produce the equations to simulate dynamically all the most important unit operations found in process and power plant.The book explains how to model chemical reactors, nuclear reactors, distillation columns, boilers, deaerators, refrigeration vessels, storage vessels for liquids and gases, liquid and gas flow through pipes and pipe networks, liquid and gas flow through installed control valves, control valve dynamics (including nonlinear effects such as static friction), oil and gas pipelines, heat exchangers, steam and gas turbines, compressors and pumps, as well as process controllers (including three methods of integral desaturation). The phenomenon of markedly different time responses ("stiffness") is considered and various ways are presented to get around the potential problem of slow execution time. The book demonstrates how linearization may be used to give a diverse check on the correctness of the as-programmed model and explains how formal techniques of model validation may be used to produce a quantitative check on the simulation model's overall validity.The material is based on many years' experience of modelling and simulation in the chemical and power industries, supplemented in recent years by university teaching at the undergraduate and postgraduate level. Several important new results are presented. The depth is sufficient to allow real industrial problems to be solved, thus making the book attractive to engineers working in industry. But the book's step-by-step approach makes the text appropriate also for post-graduate students of control engineering and for undergraduate students in electrical, mechanical and chemical engineering who are studying process control in their second year or later.
Author | : Prashant Mhaskar |
Publisher | : Springer |
Total Pages | : 335 |
Release | : 2018-11-28 |
Genre | : Technology & Engineering |
ISBN | : 3030041409 |
Download Modeling and Control of Batch Processes Book in PDF, ePub and Kindle
Modeling and Control of Batch Processes presents state-of-the-art techniques ranging from mechanistic to data-driven models. These methods are specifically tailored to handle issues pertinent to batch processes, such as nonlinear dynamics and lack of online quality measurements. In particular, the book proposes: a novel batch control design with well characterized feasibility properties; a modeling approach that unites multi-model and partial least squares techniques; a generalization of the subspace identification approach for batch processes; and applications to several detailed case studies, ranging from a complex simulation test bed to industrial data. The book’s proposed methodology employs statistical tools, such as partial least squares and subspace identification, and couples them with notions from state-space-based models to provide solutions to the quality control problem for batch processes. Practical implementation issues are discussed to help readers understand the application of the methods in greater depth. The book includes numerous comments and remarks providing insight and fundamental understanding into the modeling and control of batch processes. Modeling and Control of Batch Processes includes many detailed examples of industrial relevance that can be tailored by process control engineers or researchers to a specific application. The book is also of interest to graduate students studying control systems, as it contains new research topics and references to significant recent work. Advances in Industrial Control reports and encourages 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.