A Real-Time Approach to Process Control PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download A Real-Time Approach to Process Control PDF full book. Access full book title A Real-Time Approach to Process Control by William Y. Svrcek. Download full books in PDF and EPUB format.
Author: William Y. Svrcek
Publisher: John Wiley & Sons
ISBN: 111868138X
Category : Technology & Engineering
Languages : en
Pages : 272
Get Book Here
Book Description
A Real- Time Approach to Process Control provides the reader with both a theoretical and practical introduction to this increasingly important approach. Assuming no prior knowledge of the subject, this text introduces all of the applied fundamentals of process control from instrumentation to process dynamics, PID loops and tuning, to distillation, multi-loop and plant-wide control. In addition, readers come away with a working knowledge of the three most popular dynamic simulation packages. The text carefully balances theory and practice by offering readings and lecture materials along with hands-on workshops that provide a 'virtual' process on which to experiment and from which to learn modern, real time control strategy development. As well as a general updating of the book specific changes include: A new section on boiler control in the chapter on common control loops A major rewrite of the chapters on distillation column control and multiple single-loop control schemes The addition of new figures throughout the text Workshop instructions will be altered to suit the latest versions of HYSYS, ASPEN and DYNSIM simulation software A new solutions manual for the workshop problems
Author: William Y. Svrcek
Publisher: John Wiley & Sons
ISBN: 111868138X
Category : Technology & Engineering
Languages : en
Pages : 272
Get Book Here
Book Description
A Real- Time Approach to Process Control provides the reader with both a theoretical and practical introduction to this increasingly important approach. Assuming no prior knowledge of the subject, this text introduces all of the applied fundamentals of process control from instrumentation to process dynamics, PID loops and tuning, to distillation, multi-loop and plant-wide control. In addition, readers come away with a working knowledge of the three most popular dynamic simulation packages. The text carefully balances theory and practice by offering readings and lecture materials along with hands-on workshops that provide a 'virtual' process on which to experiment and from which to learn modern, real time control strategy development. As well as a general updating of the book specific changes include: A new section on boiler control in the chapter on common control loops A major rewrite of the chapters on distillation column control and multiple single-loop control schemes The addition of new figures throughout the text Workshop instructions will be altered to suit the latest versions of HYSYS, ASPEN and DYNSIM simulation software A new solutions manual for the workshop problems
Author: Brent R. Young
Publisher: John Wiley & Sons
ISBN: 1119669219
Category : Technology & Engineering
Languages : en
Pages : 261
Get Book Here
Book Description
A practical and hands-on discussion of modern distillation control In A Real-time Approach to Distillation Process Control, a team of distinguished researchers and industrial practitioners delivers a practical text combining hands-on and active learning using process simulation with discussions of the fundamental knowledge and tools required to apply modern distillation control principles. The book offers a balanced, real-time approach integrated with practical insights. It includes many exercises designed to be simulator agnostic that can be performed on the process simulator locally available to the reader. Readers will discover explorations of topics including distillation control hardware, distillation composition control, refinery versus chemical plant distillation control, distillation control tuning, advanced regulatory control, and more. They’ll also find: A thorough introduction to distillation fundamentals, as well as basic and advanced modern controls from a practical point of view Comprehensive explorations of known base controls combined with modern control practices Practical discussions of hands-on modelling and simulation exercises, allowing the reader to design and tune controls on a distillation column Fulsome treatments of control structure design integrated with controller tuning using a real-time approach Perfect for senior undergraduate and graduate students studying general process control or distillation process control, A Real-time Approach to Distillation Process Control will also benefit plant managers, production supervisors, startup supervisors, operations engineers, production engineers, and chemical engineers working in industry.
Author: Myke King
Publisher: John Wiley & Sons
ISBN: 1119157749
Category : Technology & Engineering
Languages : en
Pages : 629
Get Book Here
Book Description
This expanded new edition is specifically designed to meet the needs of the process industry, and closes the gap between theory and practice. Back-to-basics approach, with a focus on techniques that have an immediate practical application, and heavy maths relegated to the end of the book Written by an experienced practitioner, highly regarded by major corporations, with 25 years of teaching industry courses Supports the increasing expectations for Universities to teach more practical process control (supported by IChemE)
Author: Dale E. Seborg
Publisher: John Wiley & Sons
ISBN: 0470128674
Category : Technology & Engineering
Languages : en
Pages : 356
Get Book Here
Book Description
This third edition provides chemical engineers with process control techniques that are used in practice while offering detailed mathematical analysis. Numerous examples and simulations are used to illustrate key theoretical concepts. New exercises are integrated throughout several chapters to reinforce concepts. Up-to-date information is also included on real-time optimization and model predictive control to highlight the significant impact these techniques have on industrial practice. And chemical engineers will find two new chapters on biosystems control to gain the latest perspective in the field.
Author: Philip J Thomas
Publisher: Elsevier
ISBN: 0080517242
Category : Science
Languages : en
Pages : 415
Get Book Here
Book Description
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: Hua-Tian Li
Publisher: Elsevier
ISBN: 1483298337
Category : Technology & Engineering
Languages : en
Pages : 127
Get Book Here
Book Description
Papers presented at the workshop are representative of the state-of-the art of artificial intelligence in real-time control. The issues covered included the use of AI methods in the design, implementation, testing, maintenance and operation of real-time control systems. While the focus was on the fundamental aspects of the methodologies and technologies, there were some applications papers which helped to put emerging theories into perspective. The four main subjects were architectural issues; knowledge - acquisition and learning; techniques; and scheduling, monitoring and management.
Author: Weidong Zhang
Publisher: CRC Press
ISBN: 1439855617
Category : Science
Languages : en
Pages : 473
Get Book Here
Book Description
Quantitative Process Control Theory explains how to solve industrial system problems using a novel control system design theory. This easy-to-use theory does not require designers to choose a weighting function and enables the controllers to be designed or tuned for quantitative engineering performance indices such as overshoot.In each chapter, a s
Author: Martin Grötschel
Publisher: Springer Science & Business Media
ISBN: 3662043319
Category : Mathematics
Languages : en
Pages : 789
Get Book Here
Book Description
In its thousands of years of history, mathematics has made an extraordinary ca reer. It started from rules for bookkeeping and computation of areas to become the language of science. Its potential for decision support was fully recognized in the twentieth century only, vitally aided by the evolution of computing and communi cation technology. Mathematical optimization, in particular, has developed into a powerful machinery to help planners. Whether costs are to be reduced, profits to be maximized, or scarce resources to be used wisely, optimization methods are available to guide decision making. Opti mization is particularly strong if precise models of real phenomena and data of high quality are at hand - often yielding reliable automated control and decision proce dures. But what, if the models are soft and not all data are around? Can mathematics help as well? This book addresses such issues, e. g. , problems of the following type: - An elevator cannot know all transportation requests in advance. In which order should it serve the passengers? - Wing profiles of aircrafts influence the fuel consumption. Is it possible to con tinuously adapt the shape of a wing during the flight under rapidly changing conditions? - Robots are designed to accomplish specific tasks as efficiently as possible. But what if a robot navigates in an unknown environment? - Energy demand changes quickly and is not easily predictable over time. Some types of power plants can only react slowly.
Author: Michael J. Grimble
Publisher: Springer Nature
ISBN: 1447174577
Category : Technology & Engineering
Languages : en
Pages : 778
Get Book Here
Book Description
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.
Author: Michael Bortz
Publisher: Elsevier
ISBN: 0323850448
Category : Technology & Engineering
Languages : en
Pages : 428
Get Book Here
Book Description
Simulation and Optimization in Process Engineering: The Benefit of Mathematical Methods in Applications of the Process Industry brings together examples where the successful transfer of progress made in mathematical simulation and optimization has led to innovations in an industrial context that created substantial benefit. Containing introductory accounts on scientific progress in the most relevant topics of process engineering (substance properties, simulation, optimization, optimal control and real time optimization), the examples included illustrate how such scientific progress has been transferred to innovations that delivered a measurable impact, covering details of the methods used, and more. With each chapter bringing together expertise from academia and industry, this book is the first of its kind, providing demonstratable insights. - Recent mathematical methods are transformed into industrially relevant innovations. - Covers recent progress in mathematical simulation and optimization in a process engineering context with chapters written by experts from both academia and industry - Provides insight into challenges in industry aiming for a digitized world.
