| Title | ΑΥΤΟΜΑΤΟΣ ΕΛΕΓΧΟΣ / AUTOMATIC CONTROL |
| Code | 129 |
| Faculty | Engineering |
| School | Mechanical Engineering |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Spring |
| Coordinator | Panagiotis Seferlis |
| Common | Yes |
| Status | Active |
| Course ID | 20000289 |
Programme of Study: UPS of School of Mechanical Engineering
Registered students: 320
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Core | Compulsory Course | 6 | 3 | 6 |
| Academic Year | 2017 – 2018 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 5 |
| Class ID | 600105272
|
Class Schedule
| Building | Πολυτεχνείο (πτέρυγα Β) |
| Floor | Όροφος 1 |
| Hall | 561-562 (89) |
| Calendar | Πέμπτη 11:00 έως 14:00 |
Course Type 2016-2020
- Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600105272
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=4335
- OpenCourses (eClass): https://opencourses.auth.gr/courses/OCRS211/
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
- English (Instruction, Examination)
Learning Outcomes
Should be able to analyze dynamic systems using transfer functions, in the frequency domain, and using state space models.
Should be able to design feedback control systems using trasfer functions, in the frequency domain, and using state space models.
Should be able to analyse and apply the basic analysis and design principles in electrical, mechanical, thermal, hydraulic and process systems.
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
- Appreciate diversity and multiculturality
- Respect natural environment
- Demonstrate social, professional and ethical commitment and sensitivity to gender issues
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
1. Introduction to control systems
2. Mathematical models
Laplace transform – Transfer functions
System linearization – Block diagrams
Dynamic characteristics of typical systems (1st and 2nd order systems, systems with time delay, systems with inverse response)
3. State space models
State space model development
Solution of state space models – Transfer matrix
4. Frequency domain system analysis
Bode and Nyquist diagrams
5. Feedback control systems
Selection of controlled and manipulated variables
Sensors and control elements
Performance criteria in feedback control systems
6. Stability of dynamic systems
Definition of stability – Ruth-Hurwitz
Root locus of dynamic systems
Stability in state space models
Bode stability criterion –Nyquist stability criterion
7. PID Controller
Description of controller modes
PID tuning for improved dynamic performance
8. Enhancement of feedback control systems
Cascade control – Feedforward control – Time delay compensation
9. Root locus control system design
Control design techniques using the root locus
10. Control system design in the frequency domain
Lead, lag compensators
11. Control system design in state space
Controllability, observability
State feedback control
12. Multi-loop feedback control systems
Loop interactions – Multi-loop controller tuning
Keywords
automatic control, feedback control, transfer function, state space variables, frequency response, design of feedback control systems
Educational Material Types
- Notes
- Slide presentations
- Video lectures
- 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
Description
Assignments 35% – Final exam 65% (a 50% success level must be achieved in the final exam paper).
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 128 | 4.3 | ✓ | ||
| Laboratory Work | 10 | 0.3 | ✓ | ||
| Tutorial | 24 | 0.8 | ✓ | ||
| Written assigments | 15 | 0.5 | ✓ | ||
| Exams | 3 | 0.1 | ✓ | ||
| Total | 180 | 6 |
Student Assessment
Description
Assignments 35% – Final exam 65% (a 50% success level must be achieved in the final exam paper).
Student Assessment methods
- Written Exam with Short Answer Questions (Formative, Summative)
- Written Exam with Problem Solving (Formative, Summative)
- Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Εγχειρίδια:
Α. Dorf R.C. και R.H. Bishop, Σύγχρονα Συστήματα Αυτόματου Ελέγχου, 11η Έκδοση, Εκδόσεις Τζιόλα, 2009.
Β. Παρασκευόπουλος Π. Ν. “Συστήματα Αυτομάτου Ελέγχου – Θεωρία και Εφαρμογές”, 2007.
Γ. Πετρίδης Β. “Συστήματα Αυτομάτου Ελέγχου”, Εκδόσεις Π. Ζήτη, 2001.
Δ. Μαλατέστας Π. “Συστήματα Αυτομάτου Ελέγχου”, Εκδόσεις Τζιόλα, 2001.
Additional bibliography for study
1. Distefano J. J., A. R. Stubberud, and I. J. Williams. “Θεωρία και Προβλήματα στα Συστήματα Αυτόματου Ελέγχου”, Εκδόσεις Τζιόλα, 2000.
2. Franklin G.F., J.D. Powell, A. Emami-Naeini. “Feedback Control of Dynamic Systems”, Prentice Hall, 2002.
3. Goodwin G.C., S.F. Graebe, M.E. Salgado. “Control System Design”, Prentice Hall, 2001.
4. Palm W. J. “Modeling, Analysis and Control of Dynamic Systems”, J. Wiley, 1999.
5. Ogata K. “Modern Control Engineering”, Prentice-Hall, 2001.
6. Marlin T.E. “Process Control”, McGraw-Hill, 1995.
7. Seborg D.E., T.F. Edgar, D.A. Mellichamp. “Process Dynamics and Control”, Wiley, 1989.
8. Smith C.A., and A.B. Corripio. “Principles and Practice of Automatic Process Control”, Wiley, 1997.
9. Stefani R.T., B. Shahian, C.J. Savant, G.H. Hostetter. “Design of Feedback Control Systems”, Oxford University Press. 2002.
10. Χατζίκος Ε. Β. “MATLAB 7 για Μηχανικούς”, Εκδόσεις Τζιόλα, 2010.
Last Update
13-02-2018