Base Knowledge
Electric circuits
Teaching Methodologies
Teaching methodologies follow a temporal sequence that allows trainees to acquire theoretical knowledge on the main themes of the Course. In order to ensure that this theoretical knowledge is internalized by the student, the study of exemplary practical exercises follows. At each step, the computational tools used are presented. Lectures with projection of theoretical slides on different subjects; Laboratorial classroom lessons with resolution of different exercises/real problems.
Learning Results
Familiarize students with the field of automation and instrumentation, particularly with measurement instruments, automatic systems and industrial sensors. Develop knowledge and understanding capacity to solve problems in the fields of industrial instrumentation and automation; Provide the student’s ability to apply the acquired knowledge in solving specific problems, supported by argument, seeking their continuous improvement; Endow the student’s ability to work in groups, developing interpersonal relationships.
Program
1. Introduction to Instrumentation 1.1. Methods of measurement and errors associated 1.2. Measure instruments and their specifications 1.3. Calibration of instruments 1.4. Chain actuation and measurement 2. Introduction to systems acquisition 2.1. Conditioning Signal 2.2. Operational Amplifiers 2.3. Signal conversion 2.3.1. Digital – Analog 2.3.2. Analog – Digital 2.4. Interference in the acquisition systems 3. Sensors 3.1. General characteristics and specifications 3.2. Operation of the main transducers 4. Introduction to automation 4.1. Industrial sensors and actuators 4.2. logical systems 4.3. Introduction to Automatic devices 4.3.1. Grafcet level I and II 4.3.2. Coding Grafcet in ladder 4.4. PLCs high level 4.5. Industrial Networks 4.6. SCADA and HMI systems 5. Introduction to Robotics
Curricular Unit Teachers
João Paulo Morais FerreiraGrading Methods
Attendance mandatory of laboratorial lessons 75%; - Presentation in theoretical lesson of a research work (10% of the evaluation - week 13); - Laboratory work distribution: work 1 - week 3, work 2 - week 4, work 3 - week 6, work 4 - week 10, work 5 - week 12, work 6 - week 14; Laboratory work in group during laboratorial lessons (50% of the evaluation); - Final written exam (40% of the evaluation).
Internship(s)
NAO
Bibliography
[1] J.P. Ferreira.(2025) , Notes from theoretical and practical classes.
[2] Pires, J.N. (2007). Automação Industrial. Lidel, Lisboa, Portugal. Available in the ISEC library, 1-6-302 (ISEC) – 14276.
[3] Gustavo da Silva. (2004). Instrumentação Industrial. Escola Superior de Tecnologia de Setúbal. Available in the ISEC library, 1-6-320 (ISEC) V.1º v. – 15765.