Identification of industrial process dynamics
| Author | : |
| Publisher | : |
| Total Pages | : 14 |
| Release | : 1974 |
| Genre | : |
| ISBN | : |
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Identification of Industrial Process Dynamics
| Author | : Ivar Gustavsson |
| Publisher | : |
| Total Pages | : 14 |
| Release | : 1974 |
| Genre | : |
| ISBN | : |
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Industrial Process Identification and Control Design
| Author | : Tao Liu |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 487 |
| Release | : 2011-11-16 |
| Genre | : Technology & Engineering |
| ISBN | : 0857299778 |
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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.
Multivariable System Identification For Process Control
| Author | : Y. Zhu |
| Publisher | : Elsevier |
| Total Pages | : 373 |
| Release | : 2001-10-08 |
| Genre | : Technology & Engineering |
| ISBN | : 0080537111 |
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Systems and control theory has experienced significant development in the past few decades. New techniques have emerged which hold enormous potential for industrial applications, and which have therefore also attracted much interest from academic researchers. However, the impact of these developments on the process industries has been limited.The purpose of Multivariable System Identification for Process Control is to bridge the gap between theory and application, and to provide industrial solutions, based on sound scientific theory, to process identification problems. The book is organized in a reader-friendly way, starting with the simplest methods, and then gradually introducing more complex techniques. Thus, the reader is offered clear physical insight without recourse to large amounts of mathematics. Each method is covered in a single chapter or section, and experimental design is explained before any identification algorithms are discussed. The many simulation examples and industrial case studies demonstrate the power and efficiency of process identification, helping to make the theory more applicable. MatlabTM M-files, designed to help the reader to learn identification in a computing environment, are included.
Process Identification and PID Control
| Author | : Su Whan Sung |
| Publisher | : John Wiley & Sons |
| Total Pages | : 352 |
| Release | : 2009-07-23 |
| Genre | : Science |
| ISBN | : 9780470824115 |
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Process Identification and PID Control enables students and researchers to understand the basic concepts of feedback control, process identification, autotuning as well as design and implement feedback controllers, especially, PID controllers. The first The first two parts introduce the basics of process control and dynamics, analysis tools (Bode plot, Nyquist plot) to characterize the dynamics of the process, PID controllers and tuning, advanced control strategies which have been widely used in industry. Also, simple simulation techniques required for practical controller designs and research on process identification and autotuning are also included. Part 3 provides useful process identification methods in real industry. It includes several important identification algorithms to obtain frequency models or continuous-time/discrete-time transfer function models from the measured process input and output data sets. Part 4 introduces various relay feedback methods to activate the process effectively for process identification and controller autotuning. Combines the basics with recent research, helping novice to understand advanced topics Brings several industrially important topics together: Dynamics Process identification Controller tuning methods Written by a team of recognized experts in the area Includes all source codes and real-time simulated processes for self-practice Contains problems at the end of every chapter PowerPoint files with lecture notes available for instructor use
Process Dynamics and Control
| Author | : Dale E. Seborg |
| Publisher | : John Wiley & Sons |
| Total Pages | : 356 |
| Release | : 2010-04-12 |
| Genre | : Technology & Engineering |
| ISBN | : 0470128674 |
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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.
Process Dynamics and Control
| Author | : Dale E. Seborg |
| Publisher | : John Wiley & Sons |
| Total Pages | : 512 |
| Release | : 2016-09-13 |
| Genre | : Technology & Engineering |
| ISBN | : 1119285917 |
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The new 4th edition of Seborg’s Process Dynamics Control provides full topical coverage for process control courses in the chemical engineering curriculum, emphasizing how process control and its related fields of process modeling and optimization are essential to the development of high-value products. A principal objective of this new edition is to describe modern techniques for control processes, with an emphasis on complex systems necessary to the development, design, and operation of modern processing plants. Control process instructors can cover the basic material while also having the flexibility to include advanced topics.
Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research
| Author | : Chao Shang |
| Publisher | : Springer |
| Total Pages | : 154 |
| Release | : 2018-02-22 |
| Genre | : Technology & Engineering |
| ISBN | : 9811066779 |
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This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle. Using said framework as a point of departure, it then proposes novel strategies for dealing with control monitoring and quality prediction problems in industrial production contexts. The thesis reveals the slowly varying nature of industrial production processes under feedback control, and integrates it with process data analytics to offer powerful prior knowledge that gives rise to statistical methods tailored to industrial data. It addresses several issues of immediate interest in industrial practice, including process monitoring, control performance assessment and diagnosis, monitoring system design, and product quality prediction. In particular, it proposes a holistic and pragmatic design framework for industrial monitoring systems, which delivers effective elimination of false alarms, as well as intelligent self-running by fully utilizing the information underlying the data. One of the strengths of this thesis is its integration of insights from statistics, machine learning, control theory and engineering to provide a new scheme for industrial process modeling in the era of big data.
Process Dynamics, Modeling, and Control
| Author | : Babatunde Ayodeji Ogunnaike |
| Publisher | : Topics in Chemical Engineering |
| Total Pages | : 1260 |
| Release | : 1994 |
| Genre | : Technology & Engineering |
| ISBN | : 9780195091199 |
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This text offers a modern view of process control in the context of today's technology. It provides the standard material in a coherent presentation and uses a notation that is more consistent with the research literature in process control. Topics that are unique include a unified approach to model representations, process model formation and process identification, multivariable control, statistical quality control, and model-based control. This book is designed to be used as an introductory text for undergraduate courses in process dynamics and control. In addition to chemical engineering courses, the text would also be suitable for such courses taught in mechanical, nuclear, industrial, and metallurgical engineering departments. The material is organized so that modern concepts are presented to the student but details of the most advanced material are left to later chapters. The text material has been developed, refined, and classroom tested over the last 10-15 years at the University of Wisconsin and more recently at the University of Delaware. As part of the course at Wisconsin, a laboratory has been developed to allow the students hands-on experience with measurement instruments, real time computers, and experimental process dynamics and control problems.
Computer Analysis and Identification of Industrial Process Data
| Author | : M A. Choudhury |
| Publisher | : |
| Total Pages | : 229 |
| Release | : 1978 |
| Genre | : |
| ISBN | : |
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The analysis of a chemical plant under computer control is performed. A twin computer system carries out direct digital control of the flow of the reactants to the plant and maintains a certain temperature profile which is necessary to produce a good quality chemical product. Data is logged by the computer system giving valuable information which could be used to improve the control scheme. A suite of programs, named CAROL, was developed and stored on the School of Control Engineering's HP2100A computer. This package enables to decode the normal operating records obtained from the DDC (direct digital control) computer records and display the data in time series form. After choosing the suitable time series of the process variables by CAROL package, CORMAT, an identification package written at Bradford University, is used for identification and modelling of the process dynamics. Computer control analysis and design of important process loops is performed by CAIAD, computer aided design package written at Bradford University.
