Process Dynamics and Control for Chemical Engineers

In chemical engineering, understanding how a system responds to changes is critical for safety, efficiency, and quality. This course helps you bridge the gap between abstract mathematical formulas and the practical realities of industrial process control. You will learn how to approach complex chemical systems, extract the essential dynamics, and develop reliable models that represent real-world operations. Starting with foundational definitions and key terminology, you will gain the confidence to adapt control theory to your specific operational needs. What you will learn: Understand the core principles of process dynamics and system behavior; Build realistic process models from physical conservation laws and experimental data; Apply transfer functions and Laplace transforms to analyze system responses; Design and tune feedback control loops, including proportional-integral-derivative controllers; Practice simulating system dynamics and evaluating stability under process disturbances; Configure modern digital control strategies and understand the basics of model predictive control. You will begin with the fundamental concepts of process variables and system boundaries before progressing to dynamic modeling, transfer functions, and controller design. This course is designed for beginner-to-intermediate engineering students and practicing professionals looking for a clear, text-based guide to process control. No advanced background in control theory is required to start. Take control of your chemical processes today.