PATIL LAB
CHE314: Process Control
This course introduces the fundamental principles and applications of process dynamics and control in chemical engineering systems. Students will learn how to model dynamic processes, analyze system behavior in both the time and Laplace domains, and design feedback control strategies to improve system performance. Topics include process modeling, transfer functions, stability analysis, PID controller design and tuning, frequency response methods, and an introduction to multivariable and optimization-based control.
Chapter 1:
Introduction
This introductory chapter defines process control as the essential practice of maintaining industrial operations at specific conditions to ensure safety, profitability, and environmental compliance.
Chapter 2:
Process Dynamics
This chapter focuses on the creation and utility of mathematical models to understand and manage chemical processes. It distinguishes between theoretical, empirical, and semi-empirical models.
Chapter 3:
Laplace Transform
This chapter focuses on the utility of Laplace transforms as a mathematical strategy for solving linear ordinary differential equations in the context of process modeling and control.
Chapter 4:
Transfer Function Models
This chapter focuses introduces transfer function models as a vital tool for analyzing the dynamic behavior of chemical processes and designing control systems.
Chapter 5:
Dynamic Process Response
This chapter examines the dynamic behavior of first-order, second-order, and integrating processes by analyzing how they respond to standard environmental changes.
Chapter 7:
Empirical Model Development
This chapter details the development of empirical models from process data, a practice essential for process control when theoretical modeling is too complex.
Chapter 8:
Feedback Controllers
This chapter provides a technical overview of feedback controllers, with a primary focus on the widely used Proportional-Integral-Derivative (PID) and on–off control methods.
Chapter 10:
Process Safety & Process Control
This chapter examines the critical integration of process safety and control systems within industrial manufacturing, further emphasizing alarm management.
Chapter 11:
Closed-Loop Systems
This chapter focuses on the dynamic behavior and stability of closed-loop feedback control systems, detailing how mathematical models like transfer functions and block diagrams represent these processes.
Chapter 12:
PID Design & Tuning
This chapter provides a comprehensive guide to PID controller design, tuning, and troubleshooting, further emphasizing the perfect balance between performance and robustness.
Chapter 14:
Frequency Response Analysis
This chapter explores frequency response analysis as a robust alternative to Laplace transforms for designing and evaluating feedback control systems.
Chapter 18:
Multivariable & Multiloop Systems
This chapter focuses on multiple-input, multiple-output (MIMO) control systems, which manage complex processes where several variables must be regulated simultaneously.