COURSE SYLLABUS

VEHICLE DISCRETE-TIME CONTROL SYSTEMS

1	Course Title:	VEHICLE DISCRETE-TIME CONTROL SYSTEMS
2	Course Code:	OTO5164
3	Type of Course:	Optional
4	Level of Course:	Second Cycle
5	Year of Study:	1
6	Semester:	2
7	ECTS Credits Allocated:	6
8	Theoretical (hour/week):	3
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Doç. Dr. ZELİHA KAMIŞ KOCABIÇAK
16	Course Lecturers:
17	Contactinformation of the Course Coordinator:	Uludağ Üniversitesi, Mühendislik Fakültesi, Otomotiv Mühendisliği Bölümü 16059 Görükle/BURSA zkamis@uludag.edu.tr; Tel: 0224 2941992
18	Website:
19	Objective of the Course:	Explanation of the basic concepts of computerized control systems such as discrete-time, z transform, signal transformation (ADC, DAC), sampling time and designing a computerized control system. Explanation of basic features of data collection cards, real-time system design and adaptation of the measuring element to the system. Applying different control algorithms to practical systems using MATLAB software.
20	Contribution of the Course to Professional Development	Understands the basic concepts of computerized control systems and system design.

Learning Outcomes:

1	To explain the discrete-time systems;
2	To be able to theoretically set up a computer controlled control system;
3	Selecting the sampling time and interpreting its effect on the system;
4	Preparing programs in MATLAB environment and building models in Simulink environment;
5	Selecting and installing the necessary infrastructure such as computer, interface, control card and software for real-time system;
6	Ability to design and install a real-time computerized control system of a theoretically modeled system;
7	Vehicle applications;

22	Course Content:

Week	Theoretical	Practical
1	Introduction, Basic components and sample applications of discrete time and digital control systems.
2	Signal transformations and sampling time selection. Nyquist and Shannon sampling frequency theorems and properties.
3	Computer-oriented mathematical models and z-transformations in discrete time systems.
4	Transfer functions, block diagrams and signal flow graph methods in discrete time systems.
5	Determining state variables and deriving state equations.
6	Discrete time, z and frequency domain analysis.
7	Data acquisition and/or control card basic features and integration with peripherals (interface, sensor, actuator).
8	Introduction to MATLAB and Simulink software, real time programming.
9	Repeating courses and Midterm Exam
10	Solution of system equations: Z-transform and programming in MATLAB/Simulink environment.
11	Design of discrete time systems
12	Advanced control systems and algorithms
13	Microprocessor features and microprocessor controlled systems.
14	Real time applications. MATLAB/Simulink XPc Target applications.

23	Textbooks, References and/or Other Materials:	1. Digital Control Systems, Benjamin C. Kuo, 2. Edition, Oxford University Press, 1992. 2. Computer-Controlled Systems: Theory and Design, K. J. Aström, B. Wittenmark, 3. Edition, Prentice Hall, 1996 3. Digital Control Engineering: Analysis and Design, M. S. Fadali, A. Visioli, Elsevier, 2009 4. Digital Control, K. Moudgalya, Wiley-Interscience, 2008 5. Otomatik Kontrol, İ. Yüksel, 7. Basım, 2006
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	20
Quiz	0	0
Homeworks, Performances	1	20
Final Exam	1	60
Total	3	100
Contribution of Term (Year) Learning Activities to Success Grade		40
Contribution of Final Exam to Success Grade		60
Total		100
Measurement and Evaluation Techniques Used in the Course	Relative evaluation system
Information

ECTS / WORK LOAD TABLE

CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High