Control Engineering I (MECE521) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Control Engineering I MECE521 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Discussion, Experiment, Question and Answer, Observation Case Study, Problem Solving, Team/Group, Brain Storming, Project Design/Management.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives To equip students the ability of analyzing the systems in state space. Necessary tools for the stability analysis of linear and nonlinear systems will be given also.
Course Learning Outcomes The students who succeeded in this course;
  • To learn fundamentals of linear system analysis in state space,
  • To understand fundamentals for stability analysis of linear and nonlinear systems,
  • To work analysis of nonlinear systems.
Course Content State space analysis of systems, state feedback, observers, Lyapunov stability theory, phase portraits, and the describing function analysis.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 State space analysis N/A
2 State space analysis N/A
3 Controllability, observability, stabilizability, detectability N/A
4 State feedback N/A
5 Pole placement N/A
6 Observers N/A
7 PHB tests N/A
8 Stability N/A
9 Stability N/A
10 Lyapunov stability theory N/A
11 Lyapunov stability theory N/A
12 Phase portraits N/A
13 Describing function analysis N/A
14 Describing function analysis N/A
15 Problem Session N/A
16 General Examination N/A

Sources

Course Book 1. Modern Control Design with Matlab and Simulink, A. Tewari, ISBN: 0-471-496790, Wiley, 2002.
Other Sources 2. Ogata, K., Modern Control Engineering, 5th Ed., Prentice-Hall, 2002.
3. Franklin, G. F., Powell, J. D., Emami-Naeini, A., Feedback Control of Dynamic Systems, 4th Ed., Prentice-Hall, 2002.
4. Kuo, B. C. and Golnaraghi, F., Automatic Control Systems, 8th Ed., John Wiley and Sons, Inc., 2003.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 15
Presentation - -
Project 1 20
Report - -
Seminar - -
Midterms Exams/Midterms Jury 4 40
Final Exam/Final Jury 1 25
Toplam 11 100
Percentage of Semester Work 75
Percentage of Final Work 25
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 Gains the ability to apply advanced computational and/or manufacturing technology knowledge to solve manufacturing engineering problems.
2 Develops the ability to analyze and define issues related to manufacturing technologies.
3 Develops an approach for solving encountered engineering problems, and designs and conducts models and experiments.
4 Designs and manufactures a comprehensive manufacturing system —including method, product, or device development— based on the creative application of fundamental engineering principles, under constraints of economic viability, environmental sustainability, and manufacturability.
5 Selects and uses modern techniques and engineering tools for manufacturing engineering applications.
6 Conducts scientific research in the field of manufacturing engineering and/or plans and carries out a project involving innovative manufacturing technologies.
7 Effectively uses information technologies to collect and analyze data, think critically, interpret results, and make sound decisions.
8 Works effectively as a member of multidisciplinary and intra-disciplinary teams or individually; demonstrates the confidence and organizational skills required. X
9 Communicates effectively in both spoken and written Turkish and English.
10 Engages in lifelong learning, accesses information, keeps up with the latest developments in science and technology, and continuously renews oneself.
11 Demonstrates awareness and a sense of responsibility regarding professional, legal, ethical, occupational safety, and social issues in the field of Manufacturing Engineering.
12 Effectively utilizes resources (personnel, equipment, costs) to enhance national competitiveness and improve manufacturing industry productivity; conducts solution-oriented project and risk management; and demonstrates awareness of entrepreneurship, innovation, and sustainable development.
13 Gathers knowledge about the health, environmental, social, and legal impacts of engineering practices at both global and local levels when making decisions.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 14 3 42
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 5 70
Presentation/Seminar Prepration
Project 1 25 25
Report
Homework Assignments 5 6 30
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 4 10 40
Prepration of Final Exams/Final Jury 1 18 18
Total Workload 225