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 Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies .
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Ali Emin
Course Assistants
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;
  • explain the concepts of feedback/feedforward control and compare open-loop vs. closed-loop control
  • derive the differential equations for dynamic systems
  • develop dynamic simulations using computer aided design tools such as Matlab, Simulink, and Octave
  • find the equilibrium points and linearize the differential equations of dynamic systems
  • design controllers with PID, lead-lag and loop-shaping techniques, perform stability analysis of feedback systems using Nyquist, Bode, and root locus techniques
  • apply various control techniques to design automotive control systems such as active suspension system design, vehicle stability control, and autonomous steering
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 Adequate knowledge of mathematics, physical sciences and the subjects specific to engineering disciplines; the ability to apply theoretical and practical knowledge of these areas in the solution of complex engineering problems. X
2 The ability to define, formulate, and solve complex engineering problems; the ability to select and apply proper analysis and modeling methods for this purpose. X
3 The ability to design a complex system, process, device or product under realistic constraints and conditions in such a way as to meet the specific requirements; the ability to apply modern design methods for this purpose. X
4 The ability to select, and use modern techniques and tools needed to analyze and solve complex problems encountered in engineering practices; the ability to use information technologies effectively. X
5 The ability to design experiments, conduct experiments, gather data, and analyze and interpret results for investigating complex engineering problems or research areas specific to engineering disciplines. X
6 The ability to work efficiently in inter-, intra-, and multi-disciplinary teams; the ability to work individually. X
7 (a) Sözlü ve yazılı etkin iletişim kurma becerisi; etkin rapor yazma ve yazılı raporları anlama, tasarım ve üretim raporları hazırlayabilme, etkin sunum yapabilme, açık ve anlaşılır talimat verme ve alma becerisi. (b) En az bir yabancı dil bilgisi; bu yabancı dilde etkin rapor yazma ve yazılı raporları anlama, tasarım ve üretim raporları hazırlayabilme, etkin sunum yapabilme, açık ve anlaşılır talimat verme ve alma becerisi. X
8 Recognition of the need for lifelong learning; the ability to access information, follow developments in science and technology, and adapt and excel oneself continuously. X
9 Acting in conformity with the ethical principles; professional and ethical responsibility and knowledge of the standards employed in engineering applications. X
10 Knowledge of business practices such as project management, risk management, and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development. X
11 Knowledge of the global and social effects of engineering practices on health, environment, and safety issues, and knowledge of the contemporary issues in engineering areas; awareness of the possible legal consequences of engineering practices. X
12 (a) Knowledge of (i) fluid mechanics, (ii) heat transfer, (iii) manufacturing process, (iv) electronics and control, (v) vehicle components design, (vi) vehicle dynamics, (vii) vehicle propulsion/drive and power systems, (viii) technical laws and regulations in automotive engineering field, and (ix) vehicle verification tests. (b) The ability to merge and apply these knowledge in solving multi-disciplinary automotive problems. X
13 The ability to make use of theoretical, experimental, and simulation methods, and computer aided design techniques in automotive engineering field. X
14 The ability to work in the field of vehicle design and manufacturing.

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