Control Technology
Objectives
1. Learning the methodologies and technologies of industrial automation
and industrial control.
2. Students of abstract design design ability.
3. Develop in students the ability to carry out concrete automation and control solutions, using simulation and laboratory practice.
4. Develop in students the ability to search for solutions and equipment suitable for different automation problems available in the market.
General characterization
Code
2424
Credits
6.0
Responsible teacher
Luís Filipe Figueira Brito Palma
Hours
Weekly - 4
Total - 56
Teaching language
Inglês
Prerequisites
Preferably students should present frequency of the curricular units of "Control Theory" and "Computer Control", or equivalent.
Bibliography
L. Brito Palma (2024), "Tecnologias de Automação e Controlo Industrial", Sebenta, Universidade Nova de Lisboa - FCT – DEEC.
J. Norberto Pires (2019), "Automação e Controlo Industrial", Lidel - Portugal.
E. Mandado Pérez, J. Acevedo, C. Silva, J. Quiroga (2009), "Autómatas Programables Y Sistemas de Automatización", Ediciones Técnicas Marcombo - Spain.
J. Caldas Pinto (2004), "Técnicas de Automação", Edições ETEP - Portugal.
A. Francisco (2003), "Autómatos Programáveis", Edições ETEP – Portugal.
J. Matias, L. Leote (1993), "Automatismos Industriais – Comando e Regulação", Didáctica Editora - Portugal.
Teaching method
Theoretical-practical classes: presentation of theoretical concepts, methodologies and techniques, and discussion of case studies.
Practical classes: execution of projects in automation and control, involving the components of specifications, design, solution development and implementation.
Evaluation method
The individual continuous assessment consists of carrying out two laboratory works (Lab#1 and Lab#2), and a final test or exam (TF), with a minimum attendance rate (Freq) of 67% for practical classes.
Final Grade = 30% * (Lab#1) + 30% * (Lab#2) + 30% * (TF) + 10% * (Freq)
Frequency: Final Grade >= 7.
Approval: Final Grade >= 9.5.
Subject matter
1. Introduction.
2. Continuous-time, discrete-time, event-based and hybrid systems. The relay. Finite Automata. Grafcet.
3. Pneumatic, electro-pneumatic and electromagnetic control technologies.
4. Programmable logic controllers (PLC). Programming languages: "Ladder" (LD), "Instruction List" (IL), "Function Block Diagram" (FBD), "Sequential Function Chart" (SFC), "Structured Text" (ST). Implementation of PID controllers in ST language.
5. Modeling and control of hybrid systems.
6. Implementation of controllers in PLC, Arduino, RPI e PC.
7. Systems supervision and performance analysis. Detection and diagnosis of faults in dynamic systems.
8. Fault tolerant control, in SISO and MIMO systems: robust control and adaptive control.
9. Speed and position control.
10. Industrial communication protocols.
11. SCADA supervision systems, WEB servers and interoperability (OPC-UA). Human-machine interaction.
12. Industry 4.0.
Programs
Programs where the course is taught: