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Process Control:

Modeling, Design, and Simulation
Sampul Depan
2 Resensi
Prentice Hall Professional, 2003 - 769 halaman
Master process control hands on, through practical examples and MATLABreg; simulations This is the first complete introduction to process control that fully integrates software tools-enabling professionals and students to master critical techniques hands on, through computer simulations based on the popular MATLAB environment. Process Control: Modeling, Design, and Simulation teaches the field's most important techniques, behaviors, and control problems through practical examples, supplemented by extensive exercises-with detailed derivations, relevant software files, and additional techniques available on a companion Web site. Coverage includes: bull; Fundamentals of process control and instrumentation, including objectives, variables, and block diagrams Methodologies for developing dynamic models of chemical processes Dynamic behavior of linear systems: state space models, transfer function-based models, and more Feedback control; proportional, integral, and derivative (PID) controllers; and closed-loop stability analysis Frequency response analysis techniques for evaluating the robustness of control systems Improving control loop performance: internal model control (IMC), automatic tuning, gain scheduling, and enhancements to improve disturbance rejection Split-range, selective, and override strategies for switching among inputs or outputs Control loop interactions and multivariable controllers An introduction to model predictive control (MPC) Bequette walks step by step through the development of control instrumentation diagrams for an entire chemical process, reviewing common control strategies for individual unit operations, then discussing strategies for integrated systems. The book also includes 16 learning modules demonstrating how to use MATLAB and SIMULINK to solve several key control problems, ranging from robustness analyses to biochemical reactors, biomedical problems to multivariable control.
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Isi

Introduction to MATLAB
539
Additional Exercises
557
FeedbackControl Simulations
563
Developing Alternative Controller Icons
570
MATLAB odeOptions
577
Summary
584
Forming DiscreteTime Models
593
Converting Discrete Models to Continuous
599

Internal Model Control Chapter 8
613
IMCBased PID Control
628
Stable SteadyState Operating Point
634
CSTR
641
Detailed Model
651
References
657
Feedback Controller Design
663
FeedForward Controller Design
666
Reference
676
Jacket Inlet Temperature Manipulated
685
Biomedical Systems
691
Blood Pressure Control in PostOperative Patients
698
Singular Value Analysis
712
Fluidized Catalytic Cracking Unit
725
Flow Control
733
Digital Control
749
SIMULINK mdl File for Example M16 2
762
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2003
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Halaman 17 - A mathematical or physical system, obeying certain specified conditions, whose behavior is used to understand a physical, biological, or social system to which it is analogous in some way.
Halaman 509 - Extended Kalman filter based nonlinear model predictive control,
Halaman 367 - Application to High Purity Distillation," IFAC World Congress, 349, San Francisco, 1996. [10] Teel, AR and N. Kapoor, "The...
Halaman 345 - ... the objective of this chapter is to provide an overview of the...
Halaman 21 - TE. Process Control — Designing Processes and Control Systems for Dynamic Performance, 2nd ed..
Halaman 509 - Qin, SJ and TA Badgwell, An overview of industrial model predictive control technology, In Kantor, JC, CE Garcia, and B.
Halaman 81 - A', or frequently Ar or A', is that matrix obtained from A by writing arc of A as oc, of A'. As always, when writing elements, the first subscript refers to the row, and the second subscript refers to the column. As an example, with A = 2 4 4i 7} then A' = 1 3 2 6 4 7 Again, with then B = {3 5 7), B

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Tentang penulis (2003)

B. WAYNE BEQUETTE is Professor of Chemical Engineering at Rensselaer Polytechnic Institute. His teaching and research interests are in the areas of process systems and control engineering for biomedical systems, pharmaceuticals, chromatography, and complex chemical processes. He is Associate Editor of "Automatica," a journal of the International Federation of Automatic Control, and General Chair for the 2003 American Control Conference. He is the author of "Process Dynamics: Modeling, Analysis, and Simulation" (Prentice Hall).

Informasi bibliografi

Process systems analysis and control
Donald R. Coughanowr - 1991 - 566 halaman
0 resensi
A thorough revision of the best-selling text on Process Dynamics and Control, the new edition features inclusion of the use of the digital computer in problem solving. The ... » lainnya
Elements of chemical reaction engineering
H. Scott Fogler - 1986 - 769 halaman
0 resensi
The Definitive, Fully-Updated Guide to Solving Real-World Chemical Reaction Engineering ProblemsThis book combines authoritative coverage of the principles of chemical reaction ... » lainnya