Course Outlines and Prerequisites

<< Course Outlines and Prerequisites

EE384 - Introduction to Control Systems

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  • COURSE INFORMATON

    Course Title

    Code

    Semester

    C +P + L  Hour

    Credits

    ECTS

    Introduction to Control Systems

    EE 384

    6

    2+0+2

    4

    7

     

    Prerequisites

    EE 384

     

    Language of Instruction

    English

    Course Level

    Undergraduate

    Course Type

    Core

    Course Coordinator

    Prof. Dr. Duygun Erol Barkana

    Instructors

    Prof. Dr. Duygun Erol Barkana

    Assistants

    Caner Toprak, Elif Gümüşlü

    Goals

    The objective of this course is to provide opportunity for the students, who want to proceed in control area, to learn detailed information about the design and analysis of control systems, and to create a solid foundation for control system theory and its applications.

    Content

    Linear time-invariant systems, I/O representation, state-space, transfer functions, block diagrams, stability, feedback, open loop versus closed loop systems, analysis in time domain, analysis in frequency domain, controller synthesis, Proportional-Integral-Derivative (PID).

     

    Learning Outcomes

    Program Outcomes

    Teaching Methods

    Assessment Methods

    1) Ability to recognize, repeat and recall the mathematical foundations

    1,6

    1

    A

    2) Ability to define, design, apply, plan and simulate controllers for different aims and different disciplines

    1,2,3,4,7

    1,2,5,6

    A,C,E

    3) Ability to apply basic control methods and analyse, report and interpret results

    1,5,7,8

    1,6

    B,E

    4) Ability to simulate systems using software (Matlab)

    4

    3,6

    C

    5) Ability to model the systems (transfer function and state-space representation)

    1,2

    1,2,6

    A,C

    6) Ability to define the properties of open-loop and closed loop control systems and evaluate the responses of these systems in time domain 

    1,5

    1,2,6

    A,C

    7) Ability to tell stability concept in systems, analyse stability using Bode diagram and Nyquist diagram

    1,2,3

    1,2,6

    A,C

     

    Teaching Methods:

    1: Lecture, 2: Problem Solving, 3: Simulation, 4: Seminar, 5: Interdisciplinary group working, 6: Laboratory, 7: Term research paper, 8: Guest Speaker, 9: Sample Project Review

    Assessment Methods:

    A: Exam, B: Quiz, C: Experiment, D: Homework, E: Project

     

     

    COURSE CONTENT

    Week

    Topics

    Study Materials

    1

    Introduction to Control Systems

    Course Textbook

    2

    Mathematical Modelling of Dynamic Systems,

    Laboratory Study I (Introduction to MATLAB’)

    Course Textbook, Laboratory Manual

    3

    Methods to Solve Differential Equations, Laplace Transform

    Course Textbook

    4

    Open Loop versus Closed Loop Systems,Block Diagrams

    Multidisciplinary Project Study I

    Course Textbook, Multidisciplinary Project Manual

    5

    State-Space Representation,

    Laboratory Study II (Transfer Function and State-Space Analysis)

    Course Textbook, Laboratory Manual

    6

    Feedback Control Systems,

    Multidisciplinary Project Study II

    Course Textbook, Multidisciplinary Project Manual

    7

    Midterm I

    8

    Performance of Control Systems (Transient and Steady-State Responses) ,

    Laboratory Study III (Performance of Second Order Systems)

    Course Textbook, Laboratory Manual

    9

    Stability Analysis,

    Laboratory Study IV (Feedback Control)

    Course Textbook, Laboratory Manual

    10

    Root-Locus Method and Analysis,

    Laboratory Study V (Effect of Feedback on Disturbance and Control System)

    Course Textbook, Laboratory Manual

    11

    Midterm II

    12

    Frequency Response- Bode Diagrams,

    Laboratory Study VI (Root-Locus Controller Design)

    Course Textbook, Laboratory Manual

    13

    Frequency Response – Nyquist Criterion,

    Multidisciplinary Project Study III

    Course Textbook, Multidisciplinary Project Manual

    14

    Multidisciplinary Project Study IV

    Multidisciplinary Project Manual

     

    RECOMMENDED SOURCES

    Textbook

    Dorf and Bishop, Modern Control Systems, 12nd Edition, 2010.

    Additional Resources

    Modern Control Engineering, K. Ogata, Prentice Hall, 4th Edition, 2002.

    Feedback Control Systems, C. L. Phillips, R.D. Harbor, Prentice Hall, 4th Edition, 1999.

     

    MATERIAL SHARING

    Documents

    Publications related to the control systems, notes on the web.

    Project

    Multidisciplinary Project Manual

    Laboratory

    Laboratory Manual

    Exams

    Midterm exam questions and answers

     

    ASSESSMENT

    IN-TERM STUDIES

    NUMBER

    PERCENTAGE

    Midterms

    2

    58

    Laboratory

    6

    21

    Multidisciplinary Project

    1

    21

    Total

    100

    CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE

     1

    30

    CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE

     9

    70

    Total

     

    100

     

    COURSE CATEGORY

    Expertise/Field Courses

     

    COURSE'S CONTRIBUTION TO PROGRAM

    No

    Program Learning Outcomes

    Contribution

    1

    2

    3

    4

    5

    1

    Adequate 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.

    x

    2

    Ability to identify, formulate, and solve Electrical and Electronics Engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.

    x

    3

    Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.

    x

    4

    Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.

    x

    5

    Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems

    x

    6

    Ability to access information; For this purpose ability to perform database searching and conduct literature review.

    x

    7

    Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.

    x

    8

    Ability to communicate effectively both orally and in writing; knowledge of a minimum of one foreign language.

    x

    9

    Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.

    10

    Awareness of professional and ethical responsibility.

    11

    Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.

    12

    Knowledge 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.

     

     

     

     

     

     

     

    ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

    Activities

    Quantity

    Duration (Hour)

    Total Workload (Hour)

    Course Duration

    14

    3

    42

    Hours for off-the-classroom study (Pre-study, practice)

    15

    6

    90

    Mid-terms

    2

    2

    4

    Laboratories

    6

    2

    12

    Multidisciplinary project

    4

    5

    20

    Final examination

    1

    2

    2

    Total Work Load

    170

    Total Work Load / 25 (h)

    6,8

    ECTS Credit of the Course

    7

     

     

  • Syllabus
  • Course Outline:

    Linear time-invariant systems, I/O representation, state-space, transfer functions, block diagrams, stability, feedback, open loop versus closed loop systems, analysis in time domain, analysis in frequency domain, controller synthesis, Proportional-Integral-Derivative (PID).