Teaching Methodologies
Software based theoretical-practical teaching, teaching with theoretical and practical discussion, software based laboratorial teaching, group learning, brainstorming.
To all students enrolled evaluation includes formal exams, delivery and discussion of a report based in a laboratory experiment and a practical exercise using Matlab/Simulink software.
The approval to the course unit depends of a positive classification in formal exams.
Final classification depends of a formal exam (60%), a laboratory experiment report and its discussion (20%) and a practical exercise using Matlab/Simulink software (20%).
Classification of theoretical-practical and laboratorial components depend of a minimum attendance of 70% of the classes effectively lectured.
For working students the minimum attendance criterion is not applicable.
Learning Results
Teach the students the importance of experimental methods in solving engineering problems and provide training that allows them to operate, configure and select measurement systems. Develop new skills associated with experimental work, including the identification of problems, planning assemblies, analysis and synthesis of information. Teach the students the basic concepts of control systems theory. Apply the knowledge acquired in solving theoretical and practical exercises and several laboratory experiments. Develop and implement systems for the acquisition and automatic processing of data from different types of instrumentation, as well as analyse and project control systems.
Program
1. Applications of measurement systems.
2. Functional description of measurement systems and general principles.
3. Static characteristics of measurement systems.
4. Dynamic characteristics of measurement systems.
5. Measurement of kinematic quantities.
6. Measurement of force, torque and power.
7. Flow visualisation.
8. Flow measurement.
9. Flow meters.
10. Temperature measurement.
11. Pressure measurement.
Control Module
1. Mathematical principles.
2. Introduction to control systems.
3. Analysis of response in time domain.
4. Basic control actions.
5. Mathematical modeling of physical systems.
6. Stability of linear systems.
7. Error analysis in steady state.
8. Analysis and construction of control systems using Matlab / Simulink.
9. Application examples, with special emphasis put on systems related with the areas of expertise.
Internship(s)
NAO