Automatic Control Systems I

Course Information
TitleΣΥΣΤΗΜΑΤΑ ΑΥΤΟΜΑΤΟΥ ΕΛΕΓΧΟΥ Ι / Automatic Control Systems I
SchoolElectrical and Computer Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CoordinatorIoannis Theocharis
Course ID20000492

Class Information
Academic Year2017 – 2018
Class PeriodWinter
Faculty Instructors
Weekly Hours7
Class ID
Course Type 2016-2020
  • Background
Course Type 2011-2015
General Foundation
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Examination)
Learning Outcomes
1. Understanding , building and using various representation models. 2. Developing models of various physical systems 3. Understanding and using analytical tools- Bode diagrammes, Root locus, Nyquist criterion, errors. 4. Design specifications and criteria. 5. Design based on root locus and Bode diagrammes. Three-term controllers-PID
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Work autonomously
  • Work in teams
Course Content (Syllabus)
Systems representation. Transfer function. Variables and state space equations. Transfer fuction-state space interconnection. Block diagrams. Modeling of physical systems. Time-frequency response. Steady state errors. Bode diagrams. Root locus. Nyquist criterion. Stability. Design criteria. Designs using root locus and Bode diagrams. Three-term controllers (PID). Relations between response and design criteria.
Transfer function, state space equ, stability, controller design.
Educational Material Types
  • Notes
  • Slide presentations
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
Course Organization
Laboratory Work39
Student Assessment
- Written Examination - two multiple choice tests. - The final grade is determined as a weighted average between the above items.
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Written Exam with Short Answer Questions (Summative)
  • Written Exam with Problem Solving (Summative)
  • Report (Summative)
  • Labortatory Assignment (Summative)
Course Bibliography (Eudoxus)
1) Βασίλειος Πετρίδης, «Συστήματα Αυτομάτου Ελέγχου», Τόμος Α, Θεσσαλονίκη 2008, σελ. 462. 2) Π.Ν. Παρασκευόπουλος, «Συστήματα Αυτόματου Ελέγχου, Θεωρία και Εφαρμογές, Τόμος Α: ΣΑΕ Συνεχούς χρόνου», Αθήνα, 2007, σελ. 1143. 3) R.C. Dorf και R.H. Bishop, «Σύγχρονα Συστήματα Αυτόματου Ελέγχου», 9η έκδοση, Εκδόσεις Τζιόλα, Θεσσαλονίκη,2003,σελ.1213.
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