ECTS - Automotive Control Systems
Automotive Control Systems (AE423) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
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Automotive Control Systems | AE423 | 3 | 1 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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MATH 276 and MECE 204 |
Course Language | English |
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Course Type | N/A |
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 |
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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. |
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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 |
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Percentage of Final Work | 100 |
Total | 100 |
Course Category
Core Courses | X |
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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 expand and get in-depth information with scientific researches in the field of mechanical engineering, evaluate information, review and implement. | |||||
2 | Have comprehensive knowledge about current techniques and methods and their limitations in Mechanical engineering. | |||||
3 | To complete and apply knowledge by using scientific methods using uncertain, limited or incomplete data; use information from different disciplines. | |||||
4 | Being aware of the new and developing practices of Mechanical Engineering and being able to examine and learn when needed. | |||||
5 | Ability to define and formulate problems related to Mechanical Engineering and develop methods for solving and apply innovative methods in solutions. | |||||
6 | Ability to develop new and/or original ideas and methods; design complex systems or processes and develop innovative/alternative solutions in the designs. | |||||
7 | Ability to design and apply theoretical, experimental and modeling based researches; analyze and solve complex problems encountered in this process. | |||||
8 | Work effectively in disciplinary and multi-disciplinary teams, lead leadership in such teams and develop solution approaches in complex situations; work independently and take responsibility. | |||||
9 | To establish oral and written communication by using a foreign language at least at the level of European Language Portfolio B2 General Level. | |||||
10 | Ability to convey the process and results of their studies systematically and clearly in written and oral form in national and international environments. | |||||
11 | To know the social, environmental, health, security, law dimensions, project management and business life applications of engineering applications and to be aware of the constraints of their engineering applications. | |||||
12 | Ability to observe social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities. |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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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 |