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 | 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 | 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 | ||