Applied Automatic Control

Course Information
TitleΕφαρμοσμένος Αυτόματος Έλεγχος / Applied Automatic Control
SchoolElectrical and Computer Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
Course ID600001032

Programme of Study: Electrical and Computer Engineering

Registered students: 2
OrientationAttendance TypeSemesterYearECTS
ELECTRICAL ENERGYElective Courses846

Class Information
Academic Year2021 – 2022
Class PeriodSpring
Weekly Hours4
Class ID
Course Type 2016-2020
  • Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
General Prerequisites
Automatic control I & II Optimisation methods Please note that the number of places for this course is limited
Learning Outcomes
The main objective of this course is to provide students with a deep understanding of automatic control by developing and implementing a design project of linear and nonlinear controllers in physical systems. This project involves several of the typical phases of control design: modeling, identification, analysis, synthesis and development and implementation of the controllers in a real time control platform (Ethercat/Etherlab/Bechoff utilizing Matlab/Simulink). Physical systems include laboratory systems by Feedback, copies of which have been developed for the Automation and Robotic Lab (e.g. magnetic levitation, D.C motor etc) as well as robotic toolkits (Lego Mindstorms etc) Outcomes 1.Providing a coherent understanding of all aspects of automatic control 2.Acquiring further knowledge and developing skills regarding the discretization of control signals, the fundamental limitations which are introduced by the sensor and actuator dynamics as well as the impact of the measurement noise. 3.Students who successfully complete the course will be able to a)complete various phases of control design b) comprehensively present the results of their work orally and in writing c)collectively work and cooperate with others for the achievement of the best possible results.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in teams
  • Design and manage projects
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Lab overview, presentation of the physical lab systems, challenges, tutorial on Ethercat/Etherlab/Simulink Modeling and identification of the physical system, design challenges, design of linear controllers based on the linear or linearized model of the physical system, design of robust and nonlinear controller.
Educational Material Types
  • Notes
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Communication with Students
Course Organization
Laboratory Work812.7
Reading Assigment451.5
Interactive Teaching in Information Center150.5
Written assigments180.6
Student Assessment
Student Assessment methods
  • Oral Exams (Summative)
  • Performance / Staging (Summative)
  • Report (Summative)
  • Labortatory Assignment (Summative)
Additional bibliography for study
- Εγχειρίδια περιγραφής του φυσικού συστήματος, του συστήματος πραγματικού χρόνου και του Simulink.
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