Control Systems (EE326) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Control Systems EE326 6. Semester 3 0 0 3 5
Pre-requisite Course(s)
MATH275 ve MATH276
Course Language English
Course Type Compulsory Departmental Courses
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.

Sources

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 Possesses sufficient knowledge in mathematics, natural sciences, and discipline-specific topics in Electrical and Electronics Engineering; uses this theoretical and practical knowledge to solve complex engineering problems. X
2 Identifies, defines, formulates, and solves complex engineering problems; selects and applies appropriate analytical and modeling methods for this purpose. X
3 Designs complex systems, processes, devices, or products under realistic constraints and conditions to meet specific requirements; applies modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, depending on the nature of the design.) X
4 Selects and uses modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications; effectively uses information technologies. X
5 Designs experiments, conducts tests, collects data, analyzes, and interprets results to investigate complex engineering problems or discipline-specific research topics. X
6 Works effectively in disciplinary and interdisciplinary teams; develops the ability to work independently. X
7 Communicates effectively in both written and verbal forms; possesses proficiency in at least one foreign language; writes effective reports, understands written reports, prepares design and production reports, delivers effective presentations, and gives and receives clear instructions. X
8 Recognizes the need for lifelong learning; accesses information, follows developments in science and technology, and continuously renews oneself. X
9 Acts in accordance with ethical principles, assumes professional and ethical responsibility, and possesses knowledge about the standards used in engineering practices. X
10 Possesses knowledge about professional practices such as project management, risk management, and change management; gains awareness of entrepreneurship and innovation; understands the principles of sustainable development. X
11 Understands the universal and societal impacts of engineering practices on health, environment, and safety; recognizes the contemporary issues reflected in the field of engineering and understands the legal implications 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
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 3 42
Presentation/Seminar Prepration
Project
Report
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