COURSE UNIT TITLE

: OPTIMAL CONTROL

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MEE 6009 OPTIMAL CONTROL ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

Offered to

Machine Theory and Dynamics
Machine Theory and Dynamics
Machine Theory and Dynamics

Course Objective

The objective of the course is to provide the students with advanced tools in optimal control system design and analysis.

Learning Outcomes of the Course Unit

1   To be able to generalise the mathematical representations of physical systems
2   To be able to specify constrains for feedback systems
3   To be able to design time optimal controllers for linear systems
4   To classify to widely used optimization methods for control
5   To be able design optimal controllers using computer tools

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to optimal control and quadratic cost functions
2 Introduction to optimal control and quadratic cost functions
3 Formulation of optimal control problems with references and disturbances
4 Formulation of optimal control problems with references and disturbances
5 Formulation of optimal control problems with references and disturbances
6 Calculus of Variations
7 Linear quadratic controller design
8 Midterm
9 Optimal Control Problems with a Fixed Final State
10 Time and fuel optimal solutions
11 Optimal Control Problems with a Free Final State
12 Optimal Control Problems with a Partially Constrained Final State
13 Optimal Control Problems with State Constraints
14 Optimal State Feedback Control

Recomended or Required Reading

Optimal Control with Engineering Applications Geering, Hans P. Springer

Planned Learning Activities and Teaching Methods

Presentations

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.20 + ASG * 0.20 + FIN * 0.60
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + ASG * 0.20 + RST * 0.60


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Each student are required to carry out the analysis and design methods given in the lectures on the given physical system model. Students present their results and evaluate them in context of the every previous week. The theoretical background given in the lectures are evaluated via one midterm and one final exam. Students are to prepare a term paper which presents their implementation of the theoretical background on the given system.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

levent.cetin@deu.edu.tr

Office Hours

Fridays 10:00-12:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparation for final exam 1 24 24
Preparation for midterm exam 1 16 16
Preparations before/after weekly lectures 13 2 26
Preparing assignments 13 6 78
Midterm 1 3 3
Final 1 3 3
TOTAL WORKLOAD (hours) 189

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15
LO.143545444
LO.243554
LO.33554
LO.43554
LO.5455444

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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