It provides innovative chapters on the growth of educational, scientific, and industrial research among chemical engineers. It presents experimental data on thermodynamics and provides a broad understanding of the main computational techniques used for chemical processing.
Readers will gain an understanding of the areas of process control that all chemical engineers need to know. The information is presented in a concise and readable format.
The information covers the basics and also provides unique topics, such as using a unified approach to model representations, statistical quality control, and model-based control. The methods presented have been successfully applied in industry to solve real problems. Designed as an advanced research guide in process dynamics and control, the book will be useful in chemical engineering courses as well as for the teaching of mechanical, nuclear, industrial, and metallurgical engineering.
Introduction to Process Control, Third Edition continues to provide a bridge between traditional and modern views of process control by blending conventional topics with a broader perspective of integrated process operation, control, and information systems.
The text offers a comprehensive pedagogical approach to reinforce learning and presents a concept first followed by an example, allowing students to grasp theoretical concepts in a practical manner and uses the same problem in each chapter, culminating in a complete control design strategy. A vast number of exercises throughout ensure readers are supported in their learning and comprehension.
Solutions manual is available for qualifying professors from the publisher. The authors have added new topics, and enhanced the presentation with a large number of new exercises and examples, many of which utilize MATLAB and Simulink. The book is a collection of peer-reviewed articles on dynamics, control and simulation of chemical processes. It covers a variety of different methods for approaching process dynamics and control, including bifurcation analysis, computational fluid dynamics, neural network applications, numerical simulations of partial differential equations, process identification and control, Lagrangian analysis of mixing.
The book is intended both for scientists and engineering involved in process analysis and control and for researchers system engineering, mathematicians and physicists interested in nonlinear sciences. It provides an overview of the typical problems of chemical and process engineering, in which dynamical system theory finds a significant and fertile field of applications.
This book aims to provide an introduction to the modeling, analysis, and simulation of the dynamic behavior of chemical processes. Contents: 1.
Introduction, 2. Design Aspects of Process Control Systems, 3. Laplace Transform, 4. Modeling, 5. Z-Transform, 6. Transfer Functions, 7. Test Signal Input, 8. First Order System, 9. Second Order System, Introduction to Feedback Control, Dynamic Behavior of Feedback Controlled Processes, Stability, Root-Locus, Performance, Frequency Response Analysis of Linear Process, Control System with Multiple Loops, Common Applications, Exit concentration response for a rectangular input.
Therefore the process transfer function G cannot exhibit oscillations when the input is a step function. Liquid level response for part d 5. Transient response in tanks 1 and 2 for a step input. Process temperature response for a step input b The overshoot can obtained from Eq. From Figure 5. But if the process is underdamped, it is unique.
Hence the dynamics of the conductivity cell are negligible. Step responses for the 2nd order t. Remember me on this computer. Enter the email address you signed up with and we'll email you a reset link.
Need an account? Click here to sign up. Download Free PDF. Process Dynamics and Control Seborg 2nd Ch A short summary of this paper. Download Download PDF. Translate PDF. Poles and zeros of G s plotted in the complex s plane. Seborg, Thomas F. Edgar and Duncan A. Response of the output of this process to a unit step input. As shown in Fig. Step response of a second-order system with a single zero. We also note that this approximate TF is exactly the same as would have been obtained using a plug flow assumption for the transfer line.
Thus we conclude that investing a lot of effort into obtaining an accurate dynamic model for the transfer line is not worthwhile in this case.
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