State University of São Paulo (UNESP)

Institute of Science and Technology, Sorocaba (ICTS)

Department of Control and Automation Engineering

Industrial Process Control

Public Repository for 'Industrial Process Control', a undergraduate course offered by the Department of Control and Automation Engineering at the State University of São Paulo (UNESP), Institute of Science and Technology, Sorocaba (ICTS).

Objectives

• Understand the Concept and Importance of Industrial Process Control.
• Comprehend the Dynamic Characteristics of Industrial Processes.
• Learn to Model Industrial Processes.
• Understand what PID Controllers (Proportional, Integral, Derivative) are and what they are used for.
• Learn the intrinsic characteristics of the Proportional, Integral, and Derivative actions of PID Controllers.
• Learn the techniques for tuning PID controllers.
• Apply Advanced Control Techniques in Industrial Processes (Feedforward, Cascade, Selective Control, etc.).
• Learn to simulate Industrial Processes in Python (Google Colab) and Simulink (Matlab).
• Apply Knowledge in Real Engineering Situations (depending on the available material).

Evaluation

Most evaluation tests will be carried out using the Simulink Software Tool (Matlab) and maybe programming in Python (Google Colab). Depending on available materials, the evaluation tests might be switched to practical experiments in the Electronics Laboratory.

Prerequisites

• Advanced knowledge in Calculus, especially in the Laplace transform of a function.
• Advanced knowledge in Electricity and Electronics.
• Programming skills.

Contact

If you have any further questions, please contact me: dhiego.fernandes@unesp.br

Week 01: Course Presentation and Introduction of Industrial Process Control

• Course Presentation
• Introduction of Industrial Process Control course

Week 02: Dynamic Characteristics of Industrial Processes

• Dynamic Characteristics of Industrial Processes
• Exercise Week 02: Google Colab

Week 03 and 04 : Mathematical Modeling of Industrial Processes

• Mathematical Modeling of Industrial Processes - Parte 01
• Tank Water Level Control: Google Colab
• Tank Temperature Controle: Google Colab
• Mathematical Modeling of Industrial Processes - Parte 02
• Simulation of Open-Loop and Closed-Loop Processes using Step Input and Time Delay: Google Colab

Week 05: Mathematical Modeling in Simulink

• First-Order and Second-Order Systems in Simulink: Exercise

Week 07: PID Controllers

• PID Controller
• Exercise PID Types: Simulink
• Actuator Saturation: Simulink
• Derivate Filtering: Simulink
• Setpoint Weighting: Google Colab