دانلود کتاب Process Control Fundamentals-Analysis, Design, Assessment, and Diagnosis

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List of Figures

List of Tables

1 Introduction

1.1 Single-input-single-output and Multi-input-Multi-output Controllers

1.2 Regulator and Servo Control Problems

1.3 Dynamic Behaviour of Processes

2 Models for Control

2.1 Linearization

2.2 State-space representation of dynamic models

2.3 Transfer function models

2.4 Problems and Solutions

2.5 Exercises

3 Process Identification

3.1 Identification of First-order Processes

3.2 Identification of Second-order Processes

3.3 Identification of First-order with Dead Time

3.3.1 Identification of overdamped second-order systems

3.4 Problems and Solutions

4 Analysis of Transfer Function models

4.1 Introduction

4.2 Partial Fractions Approach for Solving Transfer Functions

4.3 Stability of Transfer function

4.4 Problems and Solutions

4.5 Exercises

5 Controllers and analysis of closed loop transfer functions

5.1 PID Controllers

5.2 Analysis of Block Diagram

5.3 Routh Test

5.4 Problems and Solutions

5.5 Exercises

6 Controller tuning

6.1 Stability based on Zeigler Nichols tuning

6.2 Tuning based on direct synthesis

6.2.1 Inverse response systems

6.2.2 Systems with delay element

6.2.3 Unstable Systems

6.3 Internal Model Control Method

6.4 Problems and solutions

6.5 Exercises

7 Multi-loop and multivariable control

7.1 Relative gain array

7.2 Cascade control

7.3 Static decoupler

7.4 Dynamic decoupling

7.5 Multivariable PID control

7.6 Problems and Solutions

8 Model Predictive Control

8.1 Introduction to MPC

8.1.1 Key aspects of MPC

8.2 Development of discrete models

8.3 MPC Formulation

8.3.1 MPC demonstration through a simple example

8.4 Bias removal in MPC

8.5 Problems and Solutions

9 Fundamentals of controller performance assessment

9.1 Performance assessment of control loops

9.2 Control loop performance assessment for step type changes in load

9.2.1 Model based approach - DS/IMC tuning rule based Indices

9.3 Algorithm for development of SIMC based performance indices

9.4 Idle index technique for identification of sluggish control loops

9.5 Detecting Oscillations

9.5.1 Introduction to ACF

9.6 Regularity of zero-crossings of the auto-correlation function

9.7 Control loop performance assessment based on variability in the process output

9.8 Minimum Variance Index

9.9 Scaling exponent based measure for controller performance assessment

9.9.1 Implications of the scaling exponent to control loop performance assessment

9.10 Problems and Solutions

10 Fundamentals of controller performance diagnosis

10.1 Control Valve and Stiction

10.2 Modeling of Stiction

10.2.1 One parameter model for valve stiction

10.3 Identification of stiction in control valves

10.3.1 Shape based formalism for stiction detection

10.3.2 Issues in stiction detection

10.3.3 Hammerstein model based approach to Stiction detection

10.3.4 Least Squares approach for model parameter identification

10.4 Oscillations due to improper controller tuning

11 Case Studies

11.1 Introduction

11.2 2x2 Distillation Column

11.2.1 RGA Analysis

11.2.2 Decoupler

11.2.3 PI Controller Tuning

11.2.4 Model Predictive Controller

11.3 3x3 Distillation Column

11.3.1 RGA Analysis

11.3.2 Decoupler

11.3.3 PID Controller Tuning

11.3.4 Model Predictive Controller

11.4 CSTR

11.4.1 Model Predictive Controller

Bibliography