Fundamentals of Automatic Process Control
Features
- Includes Laplacian mathematics with brief mathematical solutions as well as computer solutions
- Explains each system separately in the Laplace domain, frequency domain, and finally in the time domain
- Presents common tuning methods both experimental and theoretical in a single chapter
- Elaborates advanced control techniques with practical examples and problems
- Provides selected problems, solutions, and explanations of GATE Examinations from 2002 to 2012
Includes an associated Windows simulator, Virtual Lab, on CD-ROM. Virtual Lab which can be run as a control laboratory for understanding various open-loop, closed-loop systems with varieties of disturbances, control valves, and processes
Summary
Strong theoretical and practical knowledge of process control is essential for plant practicing engineers and operators. In addition being able to use control hardware and software appropriately, engineers must be able to select or write computer programs that interface the hardware and software required to run a plant effectively. Designed to help readers understand control software and strategies that mimic human activities, Fundamentals of Automatic Process Control provides an integrated introduction to the hardware and software of automatic control systems.
Featured Topics
- Basic instruments, control systems, and symbolic representations
- Laplacian mathematics for applications in control systems
- Various disturbances and their effects on uncontrolled processes
- Feedback control loops and traditional PID controllers
- Laplacian analysis of control loops
- Tuning methods for PID controllers
- Advanced control systems
- Virtual laboratory software (included on CD-ROM)
Modern plants require operators and engineers to have thorough knowledge of instrumentation hardware as well as good operating skills. This book explores the theoretical analysis of the process dynamics and control via a large number of problems and solutions spread throughout the text. This balanced presentation, coupled with coverage of traditional and advanced systems provides an understanding of industrial realities that prepares readers for the future evolution of industrial operations.
Table of Contents
An Introduction to Automatic Process Control
Objective of Automation
Hardware and Software
Process and Variables
Common Transducers
Controllers
Control Valves
Open- and Closed-Loop Systems
Process Piping and Instrumentation Diagram
Control Panel
Questions and Answers
Open-Loop Process Dynamics and Transfer Functions
Laplacian Mathematics
First-Order Systems
Second-Order Systems
Higher-Order Systems
Transportation Lag
Transfer Function
Questions and Answers
Disturbances and Responses
Step Disturbance
Step Disturbance to a First-Order System
Step Disturbance to a Second-Order System
Ramp Disturbance
Ramp Disturbance to a First-Order System
Ramp Disturbance to a Second-Order System
Impulse Disturbance
Impulse Disturbance to a First-Order System
Impulse Disturbance to a Second-Order System
Sinusoidal Disturbance
Sinusoidal Disturbance to a First-Order System
Sinusoidal Disturbance to a Second-Order System
Questions and Answers
Process Control Loop System and Analysis
Feedback Control
Temperature Control
Level Control
Flow Control
Pressure Control
Quality Control
Direct and Reverse Acting
Proportional Control
Proportional-Integral (PI) Control
Proportional-Integral-Derivative Control
On-Off Control
Questions and Answers
Control Loop Analysis
Control Loop
Control Strategies
Control Logics
Negative Feedback Control System
Development of a Laplacian Block Diagram
Open- and Closed-Loop Transfer Functions
Regulatory Control Analysis
Servo Control Analysis
Temperature Control Loop Analysis
Level Control Loop Analysis
Pressure Control Loop Analysis
Questions and Answers
Tuning of PID Controllers
Controller Parameters and Performance
Experimental Tuning
Theoretical Tuning
Questions and Answers
Advanced Control Strategies
Cascade Control
Feed-Forward Control
Internal Model Control
Split Range Control
Ratio Control
Inferential Control
Adaptive Control
Override Control
Artificial Neural Logic
Fuzzy Logic Control
Questions and Answers
Virtual Laboratory
Getting Started in the Virtual Laboratory
Study of Open-Loop Systems
Study of Closed-Loop Systems
Tuning Problems
Advanced Control Systems
Computer Control
Hardware
Supervisory Control and Data Acquisition
Protocol
Direct Digital Control
Laboratory Control System
Selected Problems and Solutions of GATE Examinations from 2002 to 2012
