5 ECTS credits
130 h study time
Offer 1 with catalog number 4016319ENR for all students in the 1st semester at a (E) Master - advanced level.
The valid fiche can be found at the following link : MATH-H407. Change the language to English in the dropdown menu on top of the page.
The course is composed of two independent modules :
Module I : Foundations of System Theory (12 hours lecture + 12 hours exercises)
Module II : Analysis and Control Design of Sample Data Systems (12 hours)
Moreover there will be : Laboratory sessions for a total of 24 hours
Module I - In this module some foundations of system theory are introduced. System theory provides a general framework for the analysis and the control of dynamical systems. In this course the study of Discrete Time Linear Invariant Systems will emphasized.
Module II - This module is devoted to the control of sampled data system. A sample data system is a system that is continuous-time by nature but that is controlled through digital devices (e.g. micro-controller). To do so, the basic properties of sampling and reconstruction will be recalled and their effects on dynamic system detailed. Then, we will overview some of the classical methods to control them. Classical industrial schemes and a few advanced control schemes such as Model Predictive Control will be introduced.
Laboratory - During the laboratory sessions, students will be grouped in teams of 2-4 people. The group composition will be decided by the teaching assistant. Each team will be assigned as soon as possible to one pilot plant and will receive :
- a document containing a description of the plant to control and of the control technology available in the laboratory
- a list of specifications to reach
- a document with some hints on aspects not covered in this course but that can be useful to accomplish the project (e.g. identification), on how to manage the project and a possible template for the report.
Goal of the project is to make the design choices, parameter tuning, simulative and experimental tests so as to develop control schemes able to reach in the best possible way the required specifications.
Course material : Lecture notes, exercises, references and slides are available in the website : http://www.gprix.it/teaching.htm
A detailed guide to the course and to the lab, with all the rules of the course is available.
Having in-depth knowledge and understanding of exact sciences with the specificity of their application to engineering.
Having an attitude of life-long learning as needed for the future development of his/her career.
Having in-depth knowledge and understanding of the advanced methods and theories to schematize and model complex problems or processes.
Having a broad scientific knowledge, understanding and skills to be able to design, produce and maintain complex mechanical, electrical and/or energy systems with a focus on products, systems and services.
Can reformulate complex engineering problems in order to solve them (simplifying assumptions, reducing complexity).
Can correctly report on research or design results in the form of a technical report or in the form of a scientific paper.
Can present and defend results in a scientifically sound way, using contemporary communication tools, for a national as well as for an international professional or lay audience.
Can collaborate in a (multidisciplinary) team.
Can develop, plan, execute and manage engineering projects at the level of a starting professional.
Having a creative, problem-solving, result-driven and evidence-based attitude, aiming at innovation and applicability in industry and society.
The final grade is composed based on the following categories:
Other Exam determines 100% of the final mark.
Within the Other Exam category, the following assignments need to be completed:
The final assessment will be based on :
- a laboratory project (in group) (mark from 0 to 20/20) X1
- a written exam (individual) (mark from 0 to 22/20) X2
The final mark will be given by round (X1*1/3+X2*2/3)
This offer is part of the following study plans:
Master of Electromechanical Engineering: Aeronautics
Master of Electromechanical Engineering: Robotics and Mechanical Construction
Master of Electromechanical Engineering: Energy
Master of Electromechanical Engineering: Sustainable Transport and Automotive Engineering
Master of Electrical Engineering: Standaard traject BRUFACE J