Undergraduate
Faculty of Engineering and Architecture
Electrical and Electronics Engineering
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Control Systems

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
EE0846 Control Systems 2/0/2 DE English 6
Course Goals
This course is intended to introduce students to concepts and techniques of classical control. The main goal is to enable students to analyze linear control systems.
 
Prerequisite(s) -
Corequisite(s) -
Special Requisite(s) -
Instructor(s) Lecturer Basri Erdoğan
Course Assistant(s)
Schedule Theory: Thu 11:00 - 12:45 Rec: Thu 15:00 - 16:45 Rec B: Wed 13:00 - 14:50
Office Hour(s) Basri ERDOGAN, Friday, 11-12:00, 2D-07
Teaching Methods and Techniques - Theoric Lectures

- Matlab simulations

 
Principle Sources Lecture notes Franklin, Powell and Emani-Naeini, Feedback Control of Dynamic Systems, 8th Edition, Pearson Matlab scripts
 
Other Sources https://matlabacademy.mathworks.com/details/matlab-onramp/gettingstarted https://matlabacademy.mathworks.com/details/simulink-onramp/simulink
Course Schedules
Week Contents Learning Methods
1. Week Course Introduction and overview of control systems Lecture
2. Week Mathematical model of a dynamic system Lecture, lab
3. Week Analysis of Dynamic Response I – Laplace Transform Lecture, lab
4. Week Analysis of Dynamic Response II – Time Domain Specifications, Stability Lecture, lab
5. Week Block Diagram Representation Lecture, lab
6. Week Analysis of Feedback Lecture, lab
7. Week Introduction to Digital Control Lecture, lab
8. Week Midterm
9. Week Root locus design method I Lecture, lab
10. Week Root locus design method II Lecture, lab
11. Week Frequency-response design methods I Lecture, lab
12. Week Frequency-response design methods II Lecture, lab
13. Week State Space Design Lecture, lab
14. Week Project Presentations Lecture, lab
15. Week
16. Week
17. Week
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 35
Homework / Term Projects / Presentations 1 20
Final Exam 1 45


Program Outcomes
PO-1Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.
PO-2Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
PO-3Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.)
PO-4Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.
PO-5Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems.
PO-6Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
PO-7Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language.
PO-8Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
PO-9Awareness of professional and ethical responsibility.
PO-10Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
PO-11Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.
Learning Outcomes
LO-1Determine the time and frequency response of a control system using poles and zeros of its transfer function.
LO-2Ability to characterize time domain specifications of linear systems
LO-3Ability to perform block diagram reduction of a complex system.
LO-4Ability to perform analysis of linear feedback control systems.
LO-5Ability to use Root locus design method.
LO-6Ability to use Frequency response design method
LO-7To gain hands on experience modelling and analyzing control systems using Matlab simulations.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11