Undergraduate
Faculty of Engineering and Architecture
Electrical and Electronics Engineering
Anlık RSS Bilgilendirmesi İçin Tıklayınız.Düzenli bilgilendirme E-Postaları almak için listemize kaydolabilirsiniz.


Digital Control Systems

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
EE0851 Digital Control Systems 2/2/0 DE English 6
Course Goals

Teaching the structure, basic components, Z-plane mathematical modelling, analysis and design of digital control systems.

Prerequisite(s) Course Code Course Name…
Corequisite(s) Course Code Course Name…
Special Requisite(s) Completion of EE3421 Signals and Systems and EE0846 Control Systems courses provide more contribution to the understanding of the course.
Instructor(s) Assoc. Prof. Aydemir ARISOY
Course Assistant(s) Research Asistant. Umut Cem ORUÇOĞLU
Schedule Wednesday, 09:00 AM-12:50 PM, (ONLINE)
Office Hour(s) TUESDAY, 11:00-11:59 AM (Ex-Room of Dept.Chair)
Teaching Methods and Techniques -Lecture

-Discussion

-Simulation
Principle Sources -Digital Control Systems (The Oxford Series in Electrical and Computer Engineering) (9780195120646) by Benjamin C. Kuo.
Other Sources -Lecture notes
Course Schedules
Week Contents Learning Methods
1. Week Introduction to digital control systems Presentation and practice
2. Week Sampling and holding, ADC and DAC Presentation and practice
3. Week Z transform and its properties Presentation and practice
4. Week Difference equations Presentation and practice
5. Week Discrete transfer functions of open loop systems Presentation and practice
6. Week Discrete transfer functions of closed loop systems Presentation and practice
7. Week Midterm Online
8. Week Stability and stability test methods Presentation and practice
9. Week Root locus Presentation and practice
10. Week Mapping of S-domain and Z-domain Presentation and practice
11. Week Synthesis of digital control systems Presentation and practice
12. Week Z-domain performance criteria Presentation and practice
13. Week Definitions of steady-state errors Presentation and practice
14. Week Design methods and digital controllers Presentation and practice
15. Week
16. Week
17. Week
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 30
Quizzes 2 10
Final Exam 1 50


Program Outcomes
PO-1Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.
PO-2Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
PO-3Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.)
PO-4Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.
PO-5Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems.
PO-6Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
PO-7Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language.
PO-8Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
PO-9Awareness of professional and ethical responsibility.
PO-10Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
PO-11Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.
Learning Outcomes
LO-11. Recognizable digital control systems.
LO-22. Useable the Z transformation method.
LO-33. Perform mathematical modelling of numerical control systems.
LO-44. Useable the sampling approach.
LO-55. Doable system stability analysis.
LO-66. Derivable the necessary control design for the desired system behaviour.
LO-77. Realizable digital control applications.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11