Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
8EEE 448Industrial Control Systems Design3+0+035

Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Electrical and Electronics Engineering
Mode of Delivery Face to Face
Type of Course Unit Elective
Objectives of the Course To provide students with information about the structure of industrial automation systems, To provide students with the skills and knowledge required for the evaluation, design and implementation of industrial automation systems, To learn the design and implementation of industrial control systems using formal methods, To examine security issues in automation
Course Content Architecture of industrial automation systems. Design and implementation approaches and formal methods. Logical circuit design methods: Design and implementation of asynchronous sequential circuits and synchronous sequential circuits operating in basic mode for programmable controllers (PLC). Design methods based on discrete event system model: Design and implementation with automat, design and implementation with Peti networks. Safe working problems in industrial automation.
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Asist Prof.Dr. Yavuz ÜSER
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Kurtulan S., 2007: Endüstriyel Kumanda Sistemleri, Nobel Yayın Dağıtım , Ankara.
Cassandras, C. G. , Lafortune S.,2007: Introduction to discrete event systems, Springer.
Hrúz B., Zhou M.C.,2007: Modeling and control of discrete-event dynamical systems : with Petri nets and other tool, Springer.
Groover Jr., Mikell P., 2008: Automation, Production Systems, and Computer-Integrated Manufacturing, Prentice Hall.
John K.H., Tiegelkamp M., 2010: IEC 61131-3: Programming Industrial Automation Systems, Springer-Verlag.

Course Category
Mathematics and Basic Sciences %10
Engineering %20
Engineering Design %30
Field %40

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 25
Assignment 2 % 25
Final examination 1 % 50
Total
4
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Hours for off-the-c.r.stud 14 4 56
Assignments 2 16 32
Mid-terms 1 2 2
Final examination 1 2 2
Total Work Load   Number of ECTS Credits 4 134

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 To be able to develop and deepen their knowledge of control and automation engineering at expert level by using undergraduate level knowledge and skills
2 To be able to define the problems encountered in control and automation engineering, to be able to solve these problems by using the knowledge and research methods at the level of expertise
3 Ability to interpret the knowledge of the disciplines related to control and automation engineering by integrating with their own field and creating new knowledge
4 To be able to produce solutions with self-confidence and leadership awareness when necessary by taking responsibility in applications related to control and automation engineering (Competence to Work Independently and Take Responsibility).
5 To be able to critically evaluate the knowledge and skills acquired at the level of expertise in control and automation engineering, to comprehend innovations and to direct his learning (Learning Competency).
6 To be able to transfer and discuss the current developments in control and automation engineering and their own studies, using information and communication technologies, in written, oral and / or visual forms in the field in national / international platforms (Communication and Social Competence, Field-Specific Competence)
7 Ability to monitor the collection, interpretation, application and announcement of data related to control and automation engineering by observing social, scientific and ethical values ??(Field-Specific Competence)
8 To be able to develop strategies, policies and implementation plans in solving problems related to control and automation engineering and to evaluate the results within the framework of quality processes (Field-Specific Competence).


Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Architecture of industrial automation systems
2 Programming industrial automation systems: IEC 61131-3 concepts and programming
3 Design of asynchronous sequential circuits operating in basic mode
4 State and output functions, Moore and Mealy model, realization of the control system
5 Design and implementation using a synchronous circuit approach
6 Evaluation of design and implementation methods based on logical circuits
7 Discrete Event Dynamical Systems (DEDS): Basic definitions and concepts
8 Certain finite state automats, finite state machines,
9 State transition and output functions, realization of finite state machine
10 Petri net model for DEDS: Basic definitions and concepts, Petri Net classes
11 Vector and matrix representation of petri nets
12 Design and implementation of petri network and control system
13 Implementation issues and other issues with implementation
14 Basic safety requirements in industrial automation systems


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11
All 3 2 3 5 5 4 5 4 4 1 1
C1
C2
C3
C4
C5
C6
C7
C8

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https://obs.akdeniz.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=2429252&lang=en