Control Engineering II (MECE522) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Control Engineering II MECE522 3 0 0 3 5
Pre-requisite Course(s)
MECE521
Course Language English
Course Type N/A
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 to study, analyze and design control systems using state-space approach, understand state observers, regulator design, stochastic systems, Kalman filtering.
Course Learning Outcomes The students who succeeded in this course;
  • To be able to model dynamical systems using state-space approach,
  • To understand control of dynamical systems using state-space approach.
Course Content Fundamentals of state observers, regulator and control systems design, stochastic systems, Kalman filtering, MatLab-Simulink utilization; projects and laboratory studies about modeling and control of dynamical systems in mechatronic systems laboratory.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Review of 2D and 3D rigid body dynamics N/A
2 Matlab and Simulink utilization for control systems analysis and design N/A
3 Introduction of dynamical systems in Mechatronic Systems Laboratory N/A
4 Review of state-space representations of transfer function systems, canonical forms, solution of time invariant state equation, state feedback, controllability, observability, pole placement N/A
5 Review of state-space representations of transfer function systems, canonical forms, solution of time invariant state equation, state feedback, controllability, observability, pole placement N/A
6 Review of state-space representations of transfer function systems, canonical forms, solution of time invariant state equation, state feedback, controllability, observability, pole placement N/A
7 State observers N/A
8 Design of regulator systems with observers N/A
9 Design of control systems with observers N/A
10 Quadratic optimal regulator systems N/A
11 Quadratic optimal regulator systems N/A
12 Introduction to stochastic systems N/A
13 Kalman filtering N/A
14 LQG compensators 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 20
Presentation - -
Project 5 40
Report - -
Seminar - -
Midterms Exams/Midterms Jury 5 40
Final Exam/Final Jury - -
Toplam 15 100
Percentage of Semester Work 100
Percentage of Final Work 0
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 Ability to apply knowledge on Mathematics, Science and Engineering to advanced systems.
2 Implementing long-term research and development studies in major areas of Electrical and Electronics Engineering.
3 Ability to use modern engineering tools, techniques and facilities in design and other engineering applications.
4 Graduating researchers active on innovation and entrepreneurship.
5 Ability to report and present research results effectively.
6 Increasing the performance on accessing information resources and on following recent developments in science and technology.
7 An understanding of professional and ethical responsibility.
8 Increasing the performance on effective communications in both Turkish and English.
9 Increasing the performance on project management.
10 Ability to work successfully at project teams in interdisciplinary fields.

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 4 56
Presentation/Seminar Prepration
Project 2 6 12
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury
Prepration of Final Exams/Final Jury
Total Workload 110