Download from plant data to process control ideas for process identification and pid design taylor francis systems and control book series in pdf or read from plant data to process control ideas for process identification and pid design taylor francis systems and control book series in pdf online books in PDF, EPUB and Mobi Format. Click Download or Read Online button to get from plant data to process control ideas for process identification and pid design taylor francis systems and control book series in pdf book now. This site is like a library, Use search box in the widget to get ebook that you want.



From Plant Data To Process Control

Author: Liuping Wang
Publisher: Taylor & Francis
ISBN: 1135793050
Size: 50.88 MB
Format: PDF, ePub
View: 3125
Download and Read
Process engineering spans industrial applications in the manufacturing sector from petrochemical to polymer to mineral production. From Plant Data to Process Control covers the most up-to-date techniques and algorithms in the area of process identification (PID) and process control, two key components of process engineering, essential for optimizing production systems. It examines both the theoretical advances in process design and control theory, and a wide variety of implementations. A wide variety of approaches are presented for building models of dynamical systems based on observed data (process identification) and for making the output of a system behave in a desired fashion by properly selecting the process input (process control).

Introduction To Process Control Second Edition

Author: Jose A. Romagnoli
Publisher: CRC Press
ISBN: 1439854874
Size: 58.29 MB
Format: PDF, Kindle
View: 762
Download and Read
Introduction to Process Control, Second Edition provides a bridge between the traditional view of process control and the current, expanded role by blending conventional topics with a broader perspective of more integrated process operation, control, and information systems. Updating and expanding the content of its predecessor, this second edition addresses issues in today’s teaching of process control. Teaching & Learning Principles Presents a concept first followed by an example, allowing students to grasp theoretical concepts in a practical manner Uses the same problem in each chapter, culminating in a complete control design strategy Includes 50 percent more exercises Content Defines the traditional and expanded roles of process control in modern manufacturing Introduces the link between process optimization and process control (optimizing control), including the effect of disturbances on the optimal plant operation, the concepts of steady-state and dynamic backoff as ways to quantify the economic benefits of control, and how to determine an optimal transition policy during a planned production change Incorporates an introduction to the modern architectures of industrial computer control systems with real case studies and applications to pilot-scale operations Discusses the expanded role of process control in modern manufacturing, including model-centric technologies and integrated control systems Integrates data processing/reconciliation and intelligent monitoring in the overall control system architecture Web Resource The book’s website offers a user-friendly software environment for interactively studying the examples in the text. The site contains the MATLAB® toolboxes for process control education as well as the main simulation examples from the book. Access the site through the authors’ websites at www.pseonline.net and www.chms.ucdavis.edu/research/web/pse/ahmet/ Drawing on the authors’ combined 50 years of teaching experiences, this classroom-tested text is designed for chemical engineering students but is also suitable for industrial practitioners who need to understand key concepts of process control and how to implement them. The authors help readers see how traditional process control has evolved into an integrated operational environment used to run modern manufacturing facilities.

Model Predictive Control System Design And Implementation Using Matlab

Author: Liuping Wang
Publisher: Springer Science & Business Media
ISBN: 1848823312
Size: 73.96 MB
Format: PDF, ePub, Mobi
View: 4016
Download and Read
Model Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters. After the theoretical presentation, coverage is given to three industrial applications. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained. The technical contents of this book is mainly based on advances in MPC using state-space models and basis functions. This volume includes numerous analytical examples and problems and MATLAB® programs and exercises.

Model Free Adaptive Control

Author: Zhongsheng Hou
Publisher: CRC Press
ISBN: 1466594187
Size: 42.45 MB
Format: PDF, Docs
View: 1503
Download and Read
Model Free Adaptive Control: Theory and Applications summarizes theory and applications of model-free adaptive control (MFAC). MFAC is a novel adaptive control method for the unknown discrete-time nonlinear systems with time-varying parameters and time-varying structure, and the design and analysis of MFAC merely depend on the measured input and output data of the controlled plant, which makes it more applicable for many practical plants. This book covers new concepts, including pseudo partial derivative, pseudo gradient, pseudo Jacobian matrix, and generalized Lipschitz conditions, etc.; dynamic linearization approaches for nonlinear systems, such as compact-form dynamic linearization, partial-form dynamic linearization, and full-form dynamic linearization; a series of control system design methods, including MFAC prototype, model-free adaptive predictive control, model-free adaptive iterative learning control, and the corresponding stability analysis and typical applications in practice. In addition, some other important issues related to MFAC are also discussed. They are the MFAC for complex connected systems, the modularized controller designs between MFAC and other control methods, the robustness of MFAC, and the symmetric similarity for adaptive control system design. The book is written for researchers who are interested in control theory and control engineering, senior undergraduates and graduated students in engineering and applied sciences, as well as professional engineers in process control.

Fractional Order Modeling And Control Of Dynamic Systems

Author: Aleksei Tepljakov
Publisher: Springer
ISBN: 3319529501
Size: 54.56 MB
Format: PDF, ePub, Docs
View: 3736
Download and Read
This book reports on an outstanding research devoted to modeling and control of dynamic systems using fractional-order calculus. It describes the development of model-based control design methods for systems described by fractional dynamic models. More than 300 years had passed since Newton and Leibniz developed a set of mathematical tools we now know as calculus. Ever since then the idea of non-integer derivatives and integrals, universally referred to as fractional calculus, has been of interest to many researchers. However, due to various issues, the usage of fractional-order models in real-life applications was limited. Advances in modern computer science made it possible to apply efficient numerical methods to the computation of fractional derivatives and integrals. This book describes novel methods developed by the author for fractional modeling and control, together with their successful application in real-world process control scenarios.

Advanced Pid Control

Author: Karl Johan Åström
Publisher: ISA
ISBN: 9781556179426
Size: 46.40 MB
Format: PDF, Docs
View: 5828
Download and Read
The authors of the best-selling bookPID Controllers: Theory, Design, and Tuningonce again combine their extensive knowledge in the PID arena to bring you an in-depth look at the world of PID control. A new book,Advanced PID Controlbuilds on the basics learned in PID Controllers but augments it through use of advanced control techniques. Design of PID controllers are brought into the mainstream of control system design by focusing on requirements that capture effects of load disturbances, measurement noise, robustness to process variations and maintaining set points. In this way it is possible to make a smooth transition from PID control to more advanced model based controllers. It is also possible to get insight into fundamental limitations and to determine the information needed to design good controllers. The book provides a solid foundation for understanding, operating and implementing the more advanced features of PID controllers, including auto-tuning, gain scheduling and adaptation. Particular attention is given to specific challenges such as reset windup, long process dead times, and oscillatory systems. As in their other book, modeling methods, implementation details, and problem-solving techniques are also presented.

Handbook Of Pi And Pid Controller Tuning Rules

Author: Aidan O'Dwyer
Publisher: World Scientific
ISBN: 1848162421
Size: 52.62 MB
Format: PDF, Docs
View: 4464
Download and Read
The majority of automatic controllers used to compensate industrial processes are of PI or PID type. This book compiles, using a unified notation, tuning rules for these controllers. It discusses controller architecture and process modeling issues, as well as the performance and robustness of loops compensated with PI or PID controllers.