OPTIMAL CONTROL OF DYNAMICS SYSTEMS
| Title | ΒΕΛΤΙΣΤΟΣ ΕΛΕΓΧΟΣ ΔΥΝΑΜΙΚΩΝ ΣΥΣΤΗΜΑΤΩΝ / OPTIMAL CONTROL OF DYNAMICS SYSTEMS |
| Code | 377 |
| Faculty | Engineering |
| School | Mechanical Engineering |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Spring |
| Coordinator | Panagiotis Seferlis |
| Common | Yes |
| Status | Active |
| Course ID | 20000400 |
Programme of Study: UPS of School of Mechanical Engineering
Registered students: 34
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Energy | Elective Course belonging to the selected specialization (Elective Specialization Course) | 10 | 5 | 5 |
| Design and Structures | Compulsory Course belonging to the selected specialization (Compulsory Specialization Course) | 10 | 5 | 5 |
| Academic Year | 2018 – 2019 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 5 |
| Class ID | 600131103
|
Class Schedule
| Building | Πολυτεχνείο - πτέρυγα Β (Πολιτικών Μηχ.) |
| Floor | Όροφος 1 |
| Hall | 556 (88) |
| Calendar | Δευτέρα 17:00 έως 20:00 |
| Building | Πολυτεχνείο - πτέρυγα Β (Πολιτικών Μηχ.) |
| Floor | Όροφος 1 |
| Hall | 556 (88) |
| Calendar | Πέμπτη 16:00 έως 18:00 |
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/1/600131103
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=6359
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
- English (Instruction, Examination)
Prerequisites
General Prerequisites
Basic course in automatic control.
Learning Outcomes
Should be able to solve an optimal control problem using calculus of variations.
Should be able to design a linear quadratic controller in the continuous and digital domain.
Should be able to design an optimal state estimator and incorporate it in a control system.
Should be able to design a linear and non-linear model-predictive controller.
General Competences
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Adapt to new situations
- Make decisions
- Work autonomously
- Work in teams
- Work in an interdisciplinary team
- 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. Overview of automatic control principles
2. Optimal control problem formulation
Performance index selection – Constraints
3. Variational calculus in optimal control problems
Unconstrained and constrained problems
4. Linear quadratic control
Disturbance rejections and set-point tracking problems
5. Introduction to digital systems
z-transform – digital transfer function
Stability of digital systems – Digital PID
6. Control systems design in state space
Controllability and observability
State feedback – Observers and Kalman filters
7. Model predictive control
Linear and non-linear systems
Numerical solution and practical implementation
Keywords
optimal control, linear quadratic control, model predictive control, optimal state estimation
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 Communication with Students
Description
Electronic form of the lecture notes. Sample controller computer programs.
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 45 | 1.5 | ✓ | ✓ | |
| Tutorial | 30 | 1 | ✓ | ✓ | |
| Interactive Teaching in Information Center | 15 | 0.5 | |||
| Project | 60 | 2 | ✓ | ✓ | |
| Total | 150 | 5 |
Student Assessment
Description
Projects: 6 problem sets
Evaluation: Project 100%
Student Assessment methods
- Written Assignment (Formative, Summative)
- Report (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Α. Vincent T. L. και W. J. Grantham, Μη Γραμμικά Συστήματα Αυτόματου Ελέγχου και Βέλτιστος Έλεγχος. Εκδόσεις Τζιόλα, 2001.
Β. Παρασκευόπουλος Π. Ν., Βέλτιστος Έλεγχος, Φίλτρο Kalman, Στοχαστικός Έλεγχος, Αθήνα, 2004, σελ. 395, ISBN 960-91281-8-1.
Γ. Καραμπετάκης Ν., Βέλτιστος έλεγχος, 2010.
Additional bibliography for study
1. Strengel R.F., Optimal control and estimation, Dover, 1994.
2. Zhou K., Robust and optimal control, Prentice Hall, 1996.
3. Goodwin G. C., Graebe S. F., Salgado M. E., Control System Design, Prentice Hall, 2001.
4. Παρασκευόπουλος Π.Ν., Αναγνώριση Συστημάτων και Προσαρμοστικός Έλεγχος, Αθήνα, 1992, σελ. 406, ISBN 960-91281-7-3.
5. Franklin G. F., J. D. Powell, Μ. Workman, Digital Control of Dynamic Systems, Prentice Hall, 2002.
6. Ogata K., Discrete-time Control Systems, Prentice-Hall, 1987.
Last Update
30-09-2018
