Electrical & Electronics Engineering (English)
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

General course introduction information

Course Code:

EEE303

Course Name:

Control Systems

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	7

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Compulsory

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Prof. Dr. RAMAZAN NEJAT TUNCAY

Course Lecturer(s):

Course Assistants:

Course Objective and Content

Course Objectives:

1) Will be able to identify, formulate, analyze and solve control system problems
2) Will be able to model and simulate the control systems
3) Will be able to apply the control theory to various engineering problems
4) Will be able to design a control system

Course Content:

Introduction to control systems/ Mathematical concept of the control systems/ Transfer Function and State Space methods/ Mathematical modeling of the dynamic systems/ Transient and steady state response analyses/ Effects of Proportional, Integral and Derivative controllers/ Control system design by the Root Locus Method/ Frequency response analysis and control system design in frequency domain/ Controller design with PID/ State space and design of whole control system.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) The students will be able to apply knowledge of mathematics, science and electrical engineering Learning design.
2 - Skills
Cognitive - Practical
1) The students will be able to design and conduct a desired electrical engineering experiment, as well as to analyze and interpret data
2) The students will be able to identify, formulate, and solve electrical engineering problems
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Introduction to control systems	-
2)	Mathematical models and transfer functions of the dynamic systems	-
3)	Mathematical models and transfer functions of the dynamic systems	-
4)	Nonlinearity and linearity	-
5)	Nonlinearity and linearity	-
6)	Transient state response	-
7)	Transient state response	-
8)	Routh-Hurwitz stability analyzing method	-
9)	Midterm	-
10)	Steady-state errors	-
11)	Accuracy	-
12)	PID control	-
13)	PID control	-
14)	Computer based control system design application	-

Sources

Course Notes / Textbooks:

- Modern Control Engineering, OGATA, 5th Edition 2010, ISBN:0136156734
- Course slides

References:

1. Modern Control Systems, Richard C. DORF, Robert H. BISHOP, ISBN 013 6024583, Prentice Hal,13th edition, 2016.
2. Control Systems Engineering, Norman C. NISE, 6th edition, ISBN: 978-0-470-64612-0, John Wiley & Sons, 2011.
3. Matlab Control Toolbox, SIMULINK programmes
4. Automatic Control Systems, B.J.Kuo, F.Golnaragi, John Wiley&Sons,8th edition,2003
5. Otomatik Kontrol (I,II) ,M.Kemal Sarıoğlu, Birsen Yayınevi 2005.
6. Advanced Electric Drives, Analysis, Control and Modeling Using Simulink, N. Mohan, MNPERE Publisher, 2001.

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3
Program Outcomes
1) Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.
10) Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.
11) Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.	5
2)	The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.	4
3)	The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)	2
4)	Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.	3
5)	Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.	1
6)	The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.	2
7)	Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.	3
8)	Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.	3
9)	Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.	1
10)	Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.	2
11)	Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions.	2

Learning Activity and Teaching Methods

Lesson
Homework
Project preparation
Application (Modelling, Design, Model, Simulation, Experiment etc.)

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework
Application
Group project
Reporting

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	4	% 20
Project	1	% 10
Midterms	1	% 30
Final	1	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	5	70
Project	1	24	24
Homework Assignments	4	16	64
Midterms	1	3	3
Final	1	3	3
Total Workload			206