Industrial Control

Recommended Prerequisites

Basic knowledge of calculus, algebra, complex numbers, and Laplace transform. Basic English skills.

Prerequisites (curricular units): Linear Algebra and Analytic Geometry; Mathematical Analysis 1; Mathematical Analysis 2; Mathematical Analysis 3; Computer Programming.

Teaching Methods

Theoretical classes include a detailed presentation of the concepts, principles, and theories covered in the course, using audiovisual resources.
Practical classes are based on solving exercises related to the concepts previously introduced in the theoretical component. In parallel, the corresponding validation of results is carried out in a MATLAB/Simulink environment.

Learning Outcomes

 Understand the basic concepts of control theory: transfer functions, analysis of a system's dynamic response in the time and frequency domains, feedback, and control action.

Represent and describe physical systems (electrical and mechanical) using mathematical models.

Analyze systems from a stability perspective and characterize the nature of both transient and steady-state responses.

Design Proportional-Integral-Derivative (PID) controllers.

Develop and tune controllers in a MATLAB/Simulink environment.

Work Placement(s)

No

Syllabus

1. Introduction to control systems.
- Review of the Laplace Transform. 
- Response of a system to impulse, step, and ramp inputs.
2. Introduction to the MATLAB environment.
- Control Systems Toolbox.
- System Identification Toolbox.
- Simulink.
3. Mathematical models of dynamic systems.
4. Analysis of transient and steady-state system responses.
- First-order system response.
- Second-order system response.
5. System stability.
- Routh's criterion.
6. Basic control actions and feedback in control systems.
7. Root locus.
8. Frequency response analysis.
9. Proportional-Integral-Derivative (PID) Control.
- Ziegler-Nichols methods. 
- Pole placement.
- Discrete PID control.
10. Advanced programming techniques with Programmable Logic Controllers (PLCs).

- Memory access.
- Mathematical instructions. 
- Specialized peripherals. 
- Communication.

Head Lecturer(s)

Pedro Alexandre Dias Martins

Assessment Methods

Assessment
Exam: 100.0%

Bibliography

- Modern Control Engineering, Katsuhiko Ogata, Pearson - Prentice Hall, 5th edition, 2010

- Modern Control Systems, Richard C. Dorf, Robert H. Bishop, Pearson, 14th edition, 2020

- Control Systems Engineering, Norman S. Nise, John Wiley & Sons, Inc, 8th edition, 2019

- Programmable Logic Controllers A practical approach to IEC 61131-3 using Codesys
Dag H. Hanssen, John Wiley & Sons, 1st edition, 2015.