CBE30338 Chemical Process Control

Table of Contents

Data Index

Figure Index

Python Module Index

Tag Index

Chapter 1.0 Getting Started

• 1.1 Getting Started with Python and Jupyter Notebooks
• 1.2 Python Basics
• 1.3 Python Conditionals and Libraries
• 1.4 Python Numeric Integration Revisited

Chapter 2.0 Process Modeling

• 2.1 Process Variables
• 2.2 Gravity Drained Tank
• 2.3 Blending Tank Simulation
• 2.4 Continuous Product Blending
• 2.5 Hare and Lynx Population Dynamics
• 2.6 Exothermic Continuous Stirred Tank Reactor
• 2.7 Fed-Batch Bioreactor
• 2.8 Model Library

Chapter 3.0 Linearization

• 3.1 Step Response of a Gravity Drained Tank
• 3.2 Linear Approximation of a Process Model
• 3.3 Linear Approximation of a Multivariable Model
• 3.4 Fitting First Order plus Time Delay to Step Response
• 3.5 One Compartment Pharmacokinetics
• 3.6 Second Order Models
• 3.7 Interacting Tanks
• 3.8 Manometer Models and Dynamics
• 3.9 Modeling and Control of a Campus Outbreak of Coronavirus COVID-19

Chapter 4.0 PID Control

• 4.1 Implementing PID Controllers with Python Yield Statement
• 4.2 PID Control with Setpoint Weighting
• 4.3 PID Control with Bumpless Transfer
• 4.4 PID Control with Anti-Reset-Windup
• 4.5 Realizable PID Control
• 4.6 PID Controller Tuning
• 4.10 PID Control - Laboratory
• 4.11 Implementing PID Control in Nonlinear Simulations
• 4.12 Interactive PID Control Tuning with Ziegler-Nichols

Chapter 5.0 Frequency Domain Control Design

• 5.1 Getting Started with Transfer Functions
• 5.2 Closed-Loop Transfer Functions for Car Cruise Control
• 5.3 Creating Bode Plots
• 5.4 Controller Tuning Rules in Frequency Domain
• 5.5 Baroreflex as a Linear Control System

Chapter 6.0 Optimization

• 6.1 Unconstrained Scalar Optimization
• 6.2 Linear Production Model
• 6.3 Linear Programming
• 6.4 Linear Production Model in Pyomo
• 6.5 Linear Programming in Pyomo
• 6.6 Linear Blending Problem
• 6.7 Design of a Cold Weather Fuel
• 6.8 Gasoline Blending
• 6.99 Pyomo Examples

Chapter 7.0 Simulation and Optimal Control

• 7.1 Simulation and Optimal Control in Pharmacokinetics
• 7.2 Soft Landing a Rocket
• 7.3 Simulation in Pyomo
• 7.4 Simulation of an Exothermic CSTR
• 7.5 First Order System in Pyomo
• 7.6 Path Planning for a Simple Car
• 7.7 Transient Heat Transfer in Various Geometries
• 7.8 Path Constraints

Chapter 8.0 Predictive Control

• 8.1 Zero-Order Hold and Interpolation

Chapter 9.0 Discrete Events

• 9.1 Scheduling State-Task Networks
• 9.2 State-Task Networks
• 9.3 Machine Bottleneck

Appendix A. A.0 Additional Python

• A.1 Python Library for CBE 30338
• A.2 Modular Simulation using Python Generators
• A.3 Animation in Jupyter Notebooks

Appendix B. B.0 Student Projects

• B.1 Diabetes: Controlling Blood Glucose Concentrations
• B.2 Visual Tracking of an Object with a Drone