Practical Process Control

Table of Contents

Practical Process Control

Proven Methods and Best Practices for Automatic PID Control

I. Modern Control is Based on Process Dynamic Behavior (by Doug Cooper)

1) Fundamental Principles of Process Control

2) Graphical Modeling of Process Dynamics: Heat Exchanger Case Study

3) Modeling Process Dynamics: Gravity Drained Tanks Case Study

4) Software Modeling of Process Dynamics: Jacketed Stirred Reactor Case Study

II. PID Controller Design and Tuning (by Doug Cooper)

5) Process Control Preliminarie

 6) Proportional Control – The Simplest PID Controller

 7) Caution: Pay Attention to Units and Scaling

 8) Integral Action and PI Control

 9) Derivative Action and PID Control

10) Signal Filters and the PID with Controller Output Filter Algorithm

 

III. Additional PID Design and Tuning Concepts (by Doug Cooper)

11) Exploring Deeper: Sample Time, Parameter Scheduling, Plant-Wide Control

12) Controller Tuning Using Closed-Loop (Automatic Mode) Data

13) Evaluating Controller Performance

IV. Control of Integrating Processes (by Doug Cooper & Bob Rice)

14) Integrating (Non-Self Regulating) Processes

V. Advanced Classical Control Architectures (by Doug Cooper & Allen Houtz)

15) Cascade Control For Improved Disturbance Rejection

16) Feed Forward with Feedback Trim For Improved Disturbance Rejection

17) Ratio, Override and Cross-Limiting Control

18) Cascade, Feed Forward and Three-Element Control

VI. Process Applications in Control

19) Distillation Column Control (by Jim Riggs)

20) Discrete Time Modeling of Dynamic Systems (by Peter Nachtwey)

21) Fuzzy Logic and Process Control (by Fred Thomassom)