TU Delft
Year
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NEDERLANDSENGLISH
Organization
2017/2018 Mechanical, Maritime and Materials Engineering Master Mechanical Engineering
ME41116
Vehicle Dynamics B Vehicle Control
ECTS: 4
Responsible Instructor
Name E-mail
B. Shyrokau    B.Shyrokau@tudelft.nl
Instructor
Name E-mail
Dr. M. Alirezaei    M.Alirezaei@tudelft.nl
Contact Hours / Week x/x/x/x
0/0/0/4
Education Period
4
Start Education
4
Exam Period
4
5
Course Language
English
Course Contents
This course concentrates on main technical principles and aspects of automotive control systems and provides an opportunity to implement control techniques for various interesting automotive applications.
Study Goals
The student is able to apply control theory in the design of vehicle active safety systems. More specifically, the student must be able to:
(1) develop an understanding of the fundamental vehicle dynamic considerations that influence on controller design for vehicle active safety systems.
(2) describe principles of vehicle active safety systems like Anti-lock Braking System (ABS), Electronic Stability Program (ESP), lateral control of autonomous vehicle and Vehicle State Estimation (VSE), wheel force/load reconstruction methods and their applications.
(3) explore the trade-offs between completeness and simplicity when choosing an appropriate level of modeling abstraction and control theory.
Education Method
Lectures (4 hours per week), homework assignments and group project
Computer Use
MatLab/Simulink is used for analysis and simulation for homework assignments and group project.
Books
Lecture slides: Vehicle Dynamics B on the blackboard
Additional information via blackboard

Reference books:
- Rajamani, R. Vehicle dynamics and control. Springer Science & Business Media, 2011
Prerequisites
The student should have a good background and understanding of vehicle dynamics (Vehicle Dynamics A) and control theory. This background in control is assumed to include familiarity with PID control, optimal control and Kalman filtering. All of the assignments will require the use of MATLAB/Simulink. Familiarity with this software is a prerequisite for the class.
Assessment
Grading Policy: Homework assignments 30%; Group project 40%; Final written exam 30%
The final written exam can be taken after successful completion of the homework assignments and group project
Minimum threshold for each subgrade is 5.0
Enrolment / Application
Through Blackboard
Remarks
Old course code: ME41115 ^ SC4230TU
Department
3mE Department Cognitive Robotics