ECTS - Automotive Control Systems
Automotive Control Systems (AE423) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Automotive Control Systems | AE423 | Area Elective | 3 | 1 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| MECE204 ve MATH276 |
| 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 | . |
| Course Lecturer(s) |
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| Course Objectives | To teach the concept of feedback control systems, to explain classical control design and analysis techniques, and to make an introduction to state-space and robust control methods. To apply these control design and analysis techniques to automotive systems by using computer aided tools such as Matlab/Simulink/Octave. |
| Course Learning Outcomes |
The students who succeeded in this course;
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| Course Content | Concept of feedback; mathematical model of dynamic systems; transfer functions (Laplace transform) and state-space representations; frequency domain design techniques; root locus, Nyquist, and Bode diagrams; vehicle stability control, active suspension control, and autonomous steering applications. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | History of control systems, concept of feedback, open-loop vs. closed-loop control | |
| 2 | Mathematical modeling of dynamic systems and their simulations in Matlab, Simulink, and Octave environments | |
| 3 | Linearization of the equations of motion | |
| 4 | Frequency response function, Nyquist and Bode plots | |
| 5 | Gain and phase margins, root locus design technique | |
| 6 | Root-locus and PID techniques | |
| 7 | Loop-shaping and lead-lag design techniques | |
| 8 | State-space representations | |
| 9 | Midterm exam | |
| 10 | Developing simulation environment for vehicle dynamic model | |
| 11 | Designing and simulating vehicle stability controller | |
| 12 | Design of active suspension system | |
| 13 | Evaluation of active suspension controller with simulation | |
| 14 | Autonomous steering design, evaluation of autonomous steering with simulations | |
| 15 | Final exam |
Sources
| Course Book | 1. Automotive Control Systems, 1st Edition, Galip Ulusoy, Huei Peng, Melih Çakmakçı, Cambridge University Press, 2012. |
|---|---|
| 2. Automotive Control Systems: For Engine, Driveline, and Vehicle, Uwe Kiencke, Lars Nielsen, Springer-Verlag, Berlin Heidelberg, 2005. | |
| 3. Modern Control Engineering, 5th Edition, Katsuhiko Ogata, Pearson, 2010. | |
| Other Sources | 4. Öğretim elemanı tarafından sağlanan ders notları ve diğer kaynaklar |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | 5 | 25 |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 30 |
| Final Exam/Final Jury | 1 | 45 |
| Toplam | 7 | 100 |
| Percentage of Semester Work | 0 |
|---|---|
| Percentage of Final Work | 100 |
| 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 | 3 | 42 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | 5 | 3 | 15 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 1 | 10 | 10 |
| Prepration of Final Exams/Final Jury | 1 | 16 | 16 |
| Total Workload | 125 | ||