Control Systems (EE326) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Control Systems EE326 3 0 0 3 5
Pre-requisite Course(s)
MATH 275 and MATH 276
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face, Mix
Learning and Teaching Strategies Lecture, Discussion, Question and Answer, Problem Solving.
Course Coordinator
Course Lecturer(s)
  • Instructor Hayrettin KARABUDAK
  • Prof. Dr. R. Özgür DORUK
  • N/A
Course Assistants
Course Objectives The aim of this course is to teach closed loop system analysis in order to upskill the students in continuous time control system design.
Course Learning Outcomes The students who succeeded in this course;
  • Explain the feedback concept and its role in control system designs
  • Derive the mathematical models of physical systems such as mechanical, thermal and electrical systems.
  • Explain the transfer function concept and analyze the block diagrams used in control systems design. Reduce the block diagram models through block diagram algebra.
  • Analyze the transient and steady state responses of a linear system. Make use of the expected properties of these responses in control systems design.
  • Analyse the stability properties of a linear system. Able to apply the Routh-Hurwitz method in those analyses.
  • Analyse the stability of closed loop system through root locus plots
  • Analyze the stability of closed loop system through frequency response (Bode) plots. Explain the gain and phase margin concepts and make use of these definitions in stability analysis.
  • Make use of the Nyquist plots in closed loop stability analysis.
  • Design a simple control system by root locus method
  • Design a simple control system by frequency response methods.
  • Able to design a PID controller using the theory learn in class.
Course Content Laplace transform, transfer functions, stability, steady-state error analysis, root-locus technique, frequency response technique.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to control system concepts, importance of feedback, negative and positive feedback, control system representation by block daigrams. No preperation necessary.
2 Review of continuous time systems, system representations by differential equations, review of Laplace transformation, transfer function concept, utilization of transfer functions with block diagrams, block diagram algebra Review the last week's topics
3 Introduction to mathematical modeling, modeling of electrical, mechanical and thermal systems, utilization of electrical analogy in mathematical modeling, transfer function of those models Review the last week's topics
4 Time domain analysis of control systems, transient and steady state analysis, first and second order systems and their characteristics Review the last week's topics
5 Stability analysis of continuous time system Review the last week's topics
6 Root locus plots and effect of the system gain to the stability of closed loop system Review the last week's topics
7 First Midterm Review of all topics up to this week
8 Frequency response, the response of the closed loop systems to the variations of frequency of the input, bode diagrams, gain and phase margin concepts, stability analysis in frequency domain Review the last week's topics
9 Nyquist Plots, Nyquist Stability Criterion Review the last weeks topics.
10 Control systems design by root locus plots. Lead and Lag compensator designs. Review the last week's topics
11 Pole placement in Laplace domain Review the last week's topics
12 Lead and lag compensator design in frequency domain. The importance of gain and phase margins in compensator designs. Review the last week's topics
13 Analysis and Design of Proportional, Derivative and Integral (PID) control systems Review the last week's topics
14 Second Midterm Review all topics
15 Final exam preparations Review all topics
16 Final exam preparation Tüm konuları tekrar ediniz.


Course Book 1. K. Ogata, Modern Control Engineering, 5th Edition, Pearson Higher Education, (Prentice Hall)
2. J.B. Kuo, F. Golnaraghi, Automatic Control Systems, 9th Edition, Wiley
3. N.S.Nise, Control Systems Engineering, 6th Edition, Wiley
4. R.C. Dorf, Modern Control Systems, 6th Edition, Addison-Wesley
Other Sources 5. Öğretim elemanı tarafından sağlanan ders notları ve diğer kaynaklar / Lecture Notes and Supplementary Problems given by the Instructor

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 60
Final Exam/Final Jury 1 40
Toplam 3 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Adequate knowledge of subjects related to mathematics, natural sciences, and Electrical and Electronics Engineering discipline; ability to apply theoretical and applied knowledge in those fields to the solution of complex engineering problems. X
2 An ability to identify, formulate, and solve complex engineering problems, ability to choose and apply appropriate models and analysis methods for this. X
3 An ability to design a system, component, or process under realistic constraints to meet desired needs, and ability to apply modern design approaches for this. X
4 The ability to select and use the necessary modern techniques and tools for the analysis and solution of complex problems encountered in engineering applications; the ability to use information technologies effectively X
5 Ability to design and conduct experiments, collect data, analyze and interpret results for investigating complex engineering problems or discipline-specific research topics. X
6 An ability to function on multi-disciplinary teams, and ability of individual working. X
7 Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; active report writing and understanding written reports, preparing design and production reports, the ability to make effective presentation the ability to give and receive clear and understandable instructions. X
8 Awareness of the necessity of lifelong learning; the ability to access knowledge, follow the developments in science and technology and continuously stay updated. X
9 Acting compliant with ethical principles, professional and ethical responsibility, and knowledge of standards used in engineering applications. X
10 Knowledge about professional activities in business, such as project management, risk management, and change management awareness of entrepreneurship and innovation; knowledge about sustainable development. X
11 Knowledge about the impacts of engineering practices in universal and societal dimensions on health, environment, and safety. the problems of the current age reflected in the field of engineering; awareness of the legal consequences of engineering solutions. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Special Course Internship
Field Work
Study Hours Out of Class 14 3 42
Presentation/Seminar Prepration
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 10 20
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 130