Sensors, Actuators and Control
Keywords |
Classification |
Keyword |
OFICIAL |
Engineering Sciences |
Instance: 2024/2025 - 1S 
Cycles of Study/Courses
Acronym |
No. of Students |
Study Plan |
Curricular Years |
Credits UCN |
Credits ECTS |
Contact hours |
Total Time |
L.BIO |
36 |
Syllabus |
3 |
- |
6 |
52 |
162 |
Teaching Staff - Responsibilities
Teaching language
Suitable for English-speaking students
Objectives
This course aims to broaden students' knowledge in the field of automation, focusing on its main components: information input elements (sensors), information processing (microcontrollers), output elements (pneumatic actuators, and electric motors), control strategies (on/off, PID) as well as data acquisition software. This curricular unit will be supported by a strong laboratory component, allowing students to have direct contact with the components and the implementation/testing of systems.
Learning outcomes and competences
Specific technical skills Ability to select the basic automation components
Ability to tune a process controller
Understand the main process control philosophies
Understand the dynamic behavior of industrial processes
Ability to recognize symbology and terminology associated with automation
Computational Skills Programming control systems and data acquisition
Microcontroller programming
Experimental Skills Ability to identify and characterize the most common sensors
Ability to know the pneumatic elements
Ability to assemble electrical, electronic, pneumatic and electropneumatic circuits, DC motors
Other skills to be developed by the student Ability to work as a team
Written, oral and multimedia communication skills
Working method
Presencial
Pre-requirements (prior knowledge) and co-requirements (common knowledge)
Basic knowledge of programming and electronics.
Program
Sensors Working principle of the most common sensors
metrological vocabulary
Microcontrollers Introduction to microcontrollers and their programming
Serial communication with peripherals
Data acquisition and control with Arduino
virtual instrumentation
Introduction to Automatic Control On/Off and feedback control
Digital implementation of PID algorithms
Dynamic behavior of a closed ring system
Stability analysis, controller tuning
Introduction to Actuators Production, reserve and distribution of compressed air
Pneumatic valves and actuators
Pneumatic circuits
DC motors
Mandatory literature
Maria Teresa Restivo... [et al.];
Laboratórios de instrumentação para medição. ISBN: 978-972-8025-67-0
Hughes, J. M.; Arduino a technical reference - A handbook for technicians, engineers, and makers, O'REILLY, 2016. ISBN: 978-1-491-92176-0
Bolton, W.;
Mechatronics: electronic control systems in mechanical and electrical engineering, PEARSON, 2015. ISBN: 978-1-292-07668-3
Comments from the literature
These matters are usually referred in any book of the area.
Teaching methods and learning activities
The teaching method is based on the systematic analysis of cases involving equipment, concepts, techniques, and their experimental implementation. Learning will be supported by guided readings, bibliographical research and group laboratory work. The UC is organized into two types of classes: theoretical lectures, complemented by laboratory work involving sensors, controllers, pneumatic components and data acquisition software.
Software
FluidSIM
LabVIEW
Arduino IDE
keywords
Physical sciences > Computer science > Informatics > Applied informatics
Technological sciences > Technology > Instrumentation technology > Sensors
Technological sciences > Engineering > Control engineering > Automation
Evaluation Type
Distributed evaluation with final exam
Assessment Components
Designation |
Weight (%) |
Trabalho prático ou de projeto |
40,00 |
Exame |
60,00 |
Total: |
100,00 |
Amount of time allocated to each course unit
Designation |
Time (hours) |
Elaboração de projeto |
50,00 |
Estudo autónomo |
40,00 |
Frequência das aulas |
52,00 |
Trabalho escrito |
20,00 |
Total: |
162,00 |
Eligibility for exams
Do not exceed the maximum limit of 3 absences in laboratory classes and obtain a minimum grade of 10 values in the group assignment.
Calculation formula of final grade
Performance evaluation will be based on a exam (E) and practical work (TP).
The final classification (CF) will be calculated as follows:
CF = 0.60*E+0.40*TP
Examinations or Special Assignments
Internship work/project
Special assessment (TE, DA, ...)
Students can undergo the same assessment as ordinary students by attending laboratory classes and doing practical work. If this is not possible, they can take a final exam whose weight will be 100% of the final classification.
Classification improvement
Students will be able to improve their final classification by performing a written exam that will replace the E assessment component in case of being better.
Observations
António Ramos, ZOOM ID: https://videoconf-colibri.zoom.us/j/86250571966?pwd=aDgvcHhqelZJNG0vK0VqSnRDdHh0Zz09