Control Engineering II (MECE522) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Control Engineering II MECE522 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Ph.D.
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 Demonstrates the ability to conduct advanced research activities both individually and as a team member.
2 Gains the competence to examine, evaluate, and interpret research topics through scientific reasoning.
3 Develops new methods and applies them to original research areas and topics.
4 Systematically acquires experimental and/or analytical data, discusses and evaluates them to reach scientific conclusions.
5 Applies the scientific philosophical approach in the analysis, modeling, and design of engineering systems.
6 Synthesizes the knowledge in the field in which he/she works in such a way as to create, sustain, complete and present original studies at the international level.
7 Contributes to scientific and technological developments in the field of engineering in which he/she works.
8 Contributes to industrial and scientific advances to improve society through research activities.

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