Sinossi
This is a revision of a well received new book for what is a required course in Chemical Engineering. The author uniquely emphasizes practices in industry so that students learn what aspects of plant design & control are critical.This book identifies process as the central factor in plant automation and develops theory and practice to present the parameters of good dynamic performance. Approaches are presented for measurement selection, process/modification, control structure design and algorithm tuning to achieve good performance over a range of operating conditions. The sequence of topics (modeling, single-loop control and tuning, enhancements, multiloop control, and design) builds the students' ability to analyze increasingly complex systems, culminating in multiloop control design.
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Contenuti
1 Introduction to Process Control
2 Control Objectives and Benefits
3 Mathematical Modeling Principles
4 Modeling and Analysis for Process Control
5 Dynamic Behavior of Typical Process Systems
6 Empirical Model Identification
7 The Feedback Loop
8 The Proportional-Integral-Derivative (PID) Algorithm
9 PID Controller Tuning for Dynamic Performance
10 Stability Analysis and Controller Tuning
11 Digital Implementation of Process Control
12 Practical Application of Feedback Control
13 Performance of Feedback Control Systems
14 Cascade Control
15 Feedforward Control
16 Adapting Single-Loop Control Systems for Non-Linear Processes
17 Inferential Control
18 Level and Inventory Control
19 Single-Variable Model Predictive Control
20 Multiloop ControlEffects of Interaction
21 Multiloop Control Performance Analysis
22 Variable Structure and Constraint Control
23 Centralized Multivariable Control
24 Process Control Design Definition and Decisions
25 Process Control Design Managing the Design Procedure
26 Control for Product Quality and Profit
Appendices
Product Description
Book by Marlin Thomas
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Process Control: Designing Processes and Control Systems for Dynamic Performance
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