Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Engineering
  • Aeronautıcal Engıneerıng Pr. (Englısh)
  • Course Structure Diagram with Credits
  • Automatic Control Systems
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load

Course Introduction Information

Code - Course Title UCK3007 - Automatic Control Systems
Course Type Required Courses
Language of Instruction İngilizce
Laboratory + Practice 2+1
ECTS 3.0
Course Instructor(s) ARAŞTIRMA GÖREVLİSİ DOKTOR SÜLEYMAN MERT ÖZER
Mode of Delivery In-person
Prerequisites There are no prerequisites or co-requisites for this course.
Courses Recomended None
Required or Recommended Resources K. Ogata, Modern control engineering. 5th ed. Upper Saddle River, NJ, USA: Prentice Hall, 2010.
Recommended Reading List G. F. Franklin, J. D. Powell, A. Emami-Naeini, Feedback control of dynamic systems. 8th ed. Harlow, UK: Pearson, 2020.
Assessment methods and criteria 1 midterm exam and 1 final exam
Work Placement None
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction to control systems; open-loop and closed-loop systems
Week - 2 Mathematical modeling and transfer functions. Laboratory application for DC-motor modeling
Week - 3 State-space representation and linearization
Week - 4 Transient responses of first- and second-order systems
Week - 5 Higher-order systems, steady-state error, and Routh stability criterion
Week - 6 Root-locus method and fundamental rules
Week - 7 Closed-loop behavior analysis using root-locus
Week - 8 PID controllers and tuning methods. Laboratory application for DC-motor control
Week - 9 Frequency-response and optimization-based PID design
Week - 10 Introduction to state-space analysis; solution of state equations
Week - 11 Controllability and observability
Week - 12 Pole placement using state feedback
Week - 13 State observers and observer-based design
Week - 14 Quadratic optimal control (LQR) and introduction to robust control. Laboratory application for flight control of an UAV.

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Problem Solving
  • Brain Storming
  • Competences
  • Productive
  • True to core values
  • Rational
  • Questoning
  • Entrepreneur
  • Creative
  • Follow ethical and moral rules
  • Eleştirel düşünebilme
  • Abstract analysis and synthesis
  • Problem solving
  • Applying theoretical knowledge into practice
  • Information Management
  • To work autonomously
  • Elementary computing skills

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
2.Midterm Exam 1 30
Final Exam 1 40
Toplam (%) 100
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