ECTS - Control Engineering II
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 | 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 Lecturer(s) |
|
| 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;
|
| 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 | An ability to apply advanced knowledge in computational and/or manufacturing technologies to solve manufacturing engineering problems | |||||
| 2 | An ability to define and analyze issues related with manufacturing technologies | |||||
| 3 | An ability to develop a solution based approach and a model for an engineering problem and design and manage an experiment | |||||
| 4 | An ability to design a comprehensive manufacturing system based on creative utilization of fundamental engineering principles while fulfilling sustainability in environment and manufacturability and economic constraints | |||||
| 5 | An ability to chose and use modern technologies and engineering tools for manufacturing engineering applications | |||||
| 6 | Ability to perform scientific research and/or carry out innovative projects that are within the scope of manufacturing engineering | |||||
| 7 | An ability to utilize information technologies efficiently to acquire datum and analyze critically, articulate the outcome and make decision accordingly | |||||
| 8 | An ability to attain self-confidence and necessary organizational work skills to participate in multi-diciplinary and interdiciplinary teams as well as act individually | X | ||||
| 9 | An ability to attain efficient communication skills in Turkish and English both verbally and orally | |||||
| 10 | An ability to reach knowledge and to attain life-long learning and self-improvement skills, to follow recent advances in science and technology | |||||
| 11 | An awareness and responsibility about professional, legal, ethical and social issues in manufacturing engineering | |||||
| 12 | An awareness about solution focused project and risk management, enterpreneurship, innovative and sustainable development | |||||
| 13 | An understanding on the effects of engineering applications on health, social and legal aspects at universal and local level during decision making process | |||||
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 | ||