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      FACULTY OF ENGINEERING

      Department of Aerospace Engineering

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      AE 305 | Course Introduction and Application Information

      Course Name
      Automatic Control
      Code
      Semester
      Theory
      (hour/week)
      Application/Lab
      (hour/week)
      Local Credits
      ECTS
      AE 305
      FALL
      2
      2
      3
      5

      Prerequisites MATH 207 to succeed (to get a grade of at least DD)
      Course Language English
      Course Type ELECTIVE_COURSE
      Course Level First Cycle
      Mode of Delivery Face to Face
      Teaching Methods and Techniques of the Course Lecturing
      Problem Solving
      Simulation
      National Occupational Classification Code -
      Course Coordinator
      • Dr. Öğr. Üyesi Osman Nuri Şahin
      Course Lecturer(s)
      • Dr. Öğr. Üyesi Osman Nuri Şahin
      Assistant(s) -
      Course Objectives This course aims to introduce the basic concepts, control principles and definitions of automatic control, transfer function, time domain analysis and stability of control systems.
      Learning Outcomes The students who succeeded in this course;
      Name Description PC Sub * Contribution Level
      1 2 3 4 5
      LO1 Obtain transfer functions and state space models of dynamic systems 1.3 X
      LO2 Define feedback control systems and block diagrams 4 X
      LO3 Analyze the responses of linear systems 4 X
      LO4 Explain basic control methods and the effects of control parameters. 4 X
      LO5 Analyze the stability of linear systems 4 X
      Course Description The course includes control principles, open and closed loop systems, Laplace transform method, transfer functions and block diagrams, state space models, time domain analysis of control systems, first and second order systems, steady state error of systems and stability analysis of linear feedback control systems.
      Related Sustainable Development Goals
      -

       



      Course Category

      Core Courses
      Major Area Courses
      X
      Supportive Courses
      Media and Managment Skills Courses
      Transferable Skill Courses

       

      WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

      Week Subjects Required Materials Learning Outcome
      1 Introduction to automatic control systems Katsuhiko Ogata, 2008, Modern Control Engineering, Fourth Edition,, Prentice Hall, New Jersey, Ch 1 LO1
      2 Laplace transform method and properties Katsuhiko Ogata, 2008, Modern Control Engineering, Fourth Edition,, Prentice Hall, New Jersey, Ch 2 LO1
      3 Transfer functions of systems Katsuhiko Ogata, 2008, Modern Control Engineering, Fourth Edition,, Prentice Hall, New Jersey, Ch 2 LO1
      4 Transfer functions of systems Katsuhiko Ogata, 2008, Modern Control Engineering, Fourth Edition,, Prentice Hall, New Jersey, Ch 3 LO1
      5 Block diagrams Katsuhiko Ogata, 2008, Modern Control Engineering, Fourth Edition,, Prentice Hall, New Jersey, Ch 4 LO2
      6 Block diagrams Katsuhiko Ogata, 2008, Modern Control Engineering, Fourth Edition,, Prentice Hall, New Jersey, Ch 2 LO2
      7 State space models Katsuhiko Ogata, 2008, Modern Control Engineering, Fourth Edition,, Prentice Hall, New Jersey, Ch 2 LO1
      8 Midterm -
      9 First and Second order systems Katsuhiko Ogata, 2008, Modern Control Engineering, Fourth Edition,, Prentice Hall, New Jersey, Ch 5 LO3
      10 Time Responses of systems Katsuhiko Ogata, 2008, Modern Control Engineering, Fourth Edition,, Prentice Hall, New Jersey, Ch 5 LO3
      11 Basic control methods (PID control) Katsuhiko Ogata, 2008, Modern Control Engineering, Fourth Edition,, Prentice Hall, New Jersey, Ch 8 LO4
      12 Stability analysis of linear systems Katsuhiko Ogata, 2008, Modern Control Engineering, Fourth Edition,, Prentice Hall, New Jersey, Ch 5 LO5
      13 Stability analysis of linear systems Katsuhiko Ogata, 2008, Modern Control Engineering, Fourth Edition,, Prentice Hall, New Jersey, Ch 6 LO5
      14 Frequency response of systems Katsuhiko Ogata, 2008, Modern Control Engineering, Fourth Edition,, Prentice Hall, New Jersey, Ch 7 LO3
      15 Semester review -
      16 Final -

       

      Course Notes/Textbooks Katsuhiko Ogata 2008 Modern Control Engineering Fourth Edition Prentice Hall New Jersey ISBN:0 13 043245
      Suggested Readings/Materials Benjamin C. Kuo (Çev. Prof. Dr. Atilla Bir) 2008 Otomatik Kontrol Sistemleri Literatür Yayınları Istanbul ISBN:975

       

      EVALUATION SYSTEM

      Semester Activities Number Weighting LO1 LO2 LO3 LO4 LO5
      Homework / Assignments 1 30 X X X X X
      Midterm 1 30 X X
      Final Exam 1 40 X X X X
      Total 3 100

       

      ECTS / WORKLOAD TABLE

      Semester Activities Number Duration (Hours) Workload
      Participation - - -
      Theoretical Course Hours 16 2 32
      Laboratory / Application Hours 16 2 32
      Study Hours Out of Class 14 2 28
      Field Work - - -
      Quizzes / Studio Critiques - - -
      Portfolio - - -
      Homework / Assignments 5 5 25
      Presentation / Jury - - -
      Project - - -
      Seminar / Workshop - - -
      Oral Exams - - -
      Midterms 1 15 15
      Final Exam 1 18 18
          Total 150

       

      COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

      # PC Sub Program Competencies/Outcomes * Contribution Level
      1 2 3 4 5
      1

      Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computation, and related engineering discipline-specific topics; the ability to apply this knowledge to solve complex engineering problems.

      1

      Mathematics

      2

      Science

      3

      Basic Engineering

      LO1
      4

      Computation

      5

      Related engineering discipline-specific topics

      6

      The ability to apply this knowledge to solve complex engineering problems

      2

      Problem Analysis: Ability to identify, formulate and analyze complex engineering problems using basic knowledge of science, mathematics and engineering, and considering the UN Sustainable Development Goals relevant to the problem being addressed.

      3

      Engineering Design: The ability to devise creative solutions to complex engineering problems; the ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions.

      1

      Ability to design creative solutions to complex engineering problems

      2

      Ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions

      4

      Use of Techniques and Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while recognizing their limitations.

      LO2 LO3 LO4 LO5
      5

      Research and Investigation: Ability to use research methods to investigate complex engineering problems, including literature research, designing and conducting experiments, collecting data, and analyzing and interpreting results.

      1

      Literature research for the study of complex engineering problems

      2

      Designing experiments

      3

      Ability to use research methods, including conducting experiments, collecting data. analyzing and interpreting results

      6

      Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals; awareness of the legal implications of engineering solutions.

      1

      Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals

      2

      Awareness of the legal implications of engineering solutions

      7

      Ethical Behavior: Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility; awareness of being impartial, without discrimination, and being inclusive of diversity.

      1

      Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility ethical responsibility

      2

      Awareness of being impartial and inclusive of diversity, without discriminating on any subject

      8

      Individual and Teamwork: Ability to work effectively, individually and as a team member or leader on interdisciplinary and multidisciplinary teams (face-to-face, remote or hybrid).

      1

      Ability to work individually and within the discipline

      2

      Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote or hybrid)

      9

      Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession) on technical issues.

      1

      Ability to communicate verbally

      2

      Ability to communicate effectively in writing

      10

      Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.

      1

      Knowledge of business practices such as project management and economic feasibility analysis

      2

      Awareness of entrepreneurship and innovation

      11

      Lifelong Learning: Lifelong learning skills that include being able to learn independently and continuously, adapting to new and developing technologies, and thinking questioningly about technological changes.

      *1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest


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