COURSE SYLLABUS

COMPUTER CONTROLLED SYSTEMS

1	Course Title:	COMPUTER CONTROLLED SYSTEMS
2	Course Code:	MAK5246
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:	Without prerequist
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Prof. Dr. İBRAHİM YÜKSEL
16	Course Lecturers:	Yrd. Doç. Dr. Gürsel ŞEFKAT
17	Contactinformation of the Course Coordinator:	Prof. Dr. İbrahim YÜKSELİ brahim@uludag.edu.tr +90 224 294 1972 Uludağ Üniversitesi Mühendislik – Mimarlık Fakültesi Makine Mühendisliği Bölümü 16059 Görükle/BURSA
18	Website:
19	Objective of the Course:	Explain the basic concepts such as discrete-time, z-transform, signal conversion (ADC, DAC), sampling time of the computer controlled systems. The design of the computer controlled system. Explanation of the basic properties of the data acquisition cards, real-time system design and measurement elements to be adapted to the system. Different control algorithms using MATLAB software, the establishment of practical systems in practice.
20	Contribution of the Course to Professional Development

Learning Outcomes:

1	To understate the discrete-time systems;
2	To establish the computer-controlled control system as a theoretically.;
3	To selection the sampling time and to interpret the effect of the system.;
4	To prepare the program in MATLAB and to establish with Simulink model;
5	To select and to establish the necessary infrastructure such as computer, interface, the control card and software.;
6	To the design and realization of the Real time computer controlled systems that the system is modeled the theoretical;

22	Course Content:

Week	Theoretical	Practical
1	Introduction and basic elements of discrete-time sample applications and digital control systems.
2	Signal transformation and selection of the sampling time. Nyquist and Shannon theorems and properties of the sampling frequency.
3	The computer oriented mathematical models of discrete-time systems and z-Transforms.
4	Transfer functions, block diagrams and signal flow graph methods in discrete time systems.
5	Determination of state variables and state equations.
6	Time domain, z domain and frequency domain analysis.
7	Data acquisition and / or control board based on features and peripherals (interface, sensors, actuators) integration.
8	Introduction to MATLAB and Simulink software, real-time programming.
9	Repeating courses and midterm exam
10	The solution of the system equations: Z-transform, and MATLAB / Simulink programming.
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. Automatic Control (in Turkish), İbrahim Yüksel, 7. Basım, 2006
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	40
Quiz	0	0
Homeworks, Performances	0	0
Final Exam	1	60
Total	2	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
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