Semester 6

Course: Automatic Control SystemsΙ

Course Code: Υ4-Η
Course Level: Undergratuate
Obligatory/Elective: Elective
Semester: 6
Division: Main Course
Group: Main Course
ECTS Credits: 5
Hours Per Week: 5
Language: Greek

The course aims to familiarize the student with the basic principles of Automatic Control Systems. The weekly lessons include introduction to the subject with presentation of applied control examples from various technical areas. It is given the mathematical model of the physical system and the differential equation governing it. Open- closed loop systems. The Laplace Transform, analysis of partial fractions. Zero initial conditions –zero input response, transfer function of system. System Transfer Matrix. Block diagram models and their simplification, signal-flow graphs.  State variables of dynamic systems and the state differential equations. Response of 1st and 2nd order systems, typical response characteristics. Automatic control system errors. System Simulation with Simulink. Stability of control systems, Routh-Hurwitz stability criterion. Root Locus Method (RLM).

Learning Results:

The student should understand the basic concepts of control and the magnitude of the penetration of control technologies in all technical disciplines. The student:

1. Should separate the concept of open and closed loop and understand the process of feedback and comparison.

2. Be able to develop the mathematical model describing the physical system to be examined and to derive the differential equation that characterizes it.

3. Become familiar with the use of the Laplace transform to be able to calculate system response.

4. Be able to describe a system with the help of the transfer function and the state differential equations. 

5. Learn how to use block diagrams and signal-flow graphs to represent systems.

6. Design a Root Locus.

7. Implement experimental devices and make use of OAs in systems simulation.


Applied Mathematics 

Teaching Methods:
Method Description Semester Workload
Lectures 26
Exercises 13
Laboratory exercises 26
Individual works 20
Individual study 40
Total 125

I. Written final examination (70%) comprising:
- Solving problems related to quantitative data
II. Final laboratory test (30%), which includes mandatory
individual assignments (30% of the laboratory examination)

Suggested Books:

Σύγχρονα Συστήματα Αυτομάτου Ελέγχου, 13η Έκδοση,  Dorf  Richard C., Bishop  Robert H., ΕΚΔΟΣΕΙΣ Α. ΤΖΙΟΛΑ & ΥΙΟΙ, 2017. 

Συστήματα Αυτομάτου Ελέγχου, Ogata K., ΓΡΗΓΟΡΙΟΣ ΧΡΥΣΟΣΤΟΜΟΥ ΦΟΥΝΤΑΣ, 2011. 

Συστήματα Αυτομάτου Ελέγχου, 2η Έκδοση, Μαλατέστας Παντελής, ΕΚΔΟΣΕΙΣ Α. ΤΖΙΟΛΑ & ΥΙΟΙ, 2017. 

Lecturer: Parisses Konstantinos