ECTS - Modeling and Control of Engineering Systems

Modeling and Control of Engineering Systems (ENE408) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Modeling and Control of Engineering Systems ENE408 Area Elective 3 1 0 3 5
Pre-requisite Course(s)
(ENE303 veya MECE306 veya EE326)
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Question and Answer, Drill and Practice.
Course Coordinator
Course Lecturer(s)
  • Assoc. Prof. Dr. Hüseyin Oymak
Course Assistants
Course Objectives The main objective of this course is to provide a progressive treatment of dynamic systems suitable for all engineering students regardless of discipline. Particularly, this course aims to present a detailed treatment of modeling mechanical, electrical, electromechanical, thermal, and fluid systems by demonstrating the ways of obtaining analytical and computer solutions at an introductory, and higher, level.
Course Learning Outcomes The students who succeeded in this course;
  • identify the variables, recognize the elements, and recall the interconnection laws in modeling translational, rotational, electrical, electromechanical, thermal, and fluid systems
  • construct modeling equations, the input-output equation, or the state-variable model for translational, rotational, electrical, electromechanical, thermal, and fluid systems
  • draw a block diagram from the differential equations of a system
  • implement a block diagram to the SIMULINK part of MATLAB
  • apply Laplace transform method for analytical solutions of linear models
  • employ transfer function analysis to complex systems with two or more energy-storing elements
  • linearize an element law and incorporate it into a system model
  • modify and simplify structure of block diagrams (to obtain transfer functions)
  • construct and analyze linear models of dynamic systems using MATLAB
  • outline feedback design and control protocols with MATLAB
Course Content Laplace transform function analysis; linearization; electromechanical systems; thermal systems; fluid systems; block diagrams and computer simulation; modeling, analysis, and design tools; feedback design

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Transform Function Analysis – Part I Chapter 8
2 Transform Function Analysis – Part II Chapter 8
3 Developing a Linear Model Chapter 9
4 Electromechanical Systems – Part I Chapter 10
5 Electromechanical Systems – Part II Chapter 10
6 First Midterm Examination
7 Thermal Systems – Part I Chapter 11
8 Thermal Systems – Part II Chapter 11
9 Fluid Systems – Part I Chapter 12
10 Fluid Systems – Part II Chapter 12
11 Second Midterm Examination
12 Block Diagrams for Dynamic Systems Chapter 13
13 Modeling, Analysis, and Design Tools – Part I Chapter 14
14 Modeling, Analysis, and Design Tools – Part II, Part III Chapter 14
15 Feedback Design with MATLAB Chapter 15
16 Final Examination

Sources

Course Book 1. Modeling and Analysis of Dynamic Systems, 3rd Edition, by C.M. Close, D.K. Frederick, J.C. Newell, Wiley.
Other Sources 2. MATLAB 2021a veya 2021b, Atılım Üniversitesi lisansıyla.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 1 5
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 20
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 45
Final Exam/Final Jury 1 30
Toplam 9 100
Percentage of Semester Work 70
Percentage of Final Work 30
Total 100

Course Category

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

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Adequate knowledge of mathematics, physical sciences and the subjects specific to engineering disciplines; the ability to apply theoretical and practical knowledge of these areas in the solution of complex engineering problems.
2 The ability to define, formulate, and solve complex engineering problems; the ability to select and apply proper analysis and modeling methods for this purpose.
3 The ability to design a complex system, process, device or product under realistic constraints and conditions in such a way as to meet the specific requirements; the ability to apply modern design methods for this purpose.
4 The ability to select, and use modern techniques and tools needed to analyze and solve complex problems encountered in engineering practices; the ability to use information technologies effectively.
5 The ability to design experiments, conduct experiments, gather data, and analyze and interpret results for investigating complex engineering problems or research areas specific to engineering disciplines.
6 The ability to work efficiently in inter-, intra-, and multi-disciplinary teams; the ability to work individually.
7 Effective oral and written communication skills; The knowledge of, at least, one foreign language; the ability to write a report properly, understand previously written reports, prepare design and manufacturing reports, deliver influential presentations, give unequivocal instructions, and carry out the instructions properly.
8 Recognition of the need for lifelong learning; the ability to access information, follow developments in science and technology, and adapt and excel oneself continuously.
9 Acting in conformity with the ethical principles; professional and ethical responsibility and knowledge of the standards employed in engineering applications.
10 Knowledge of business practices such as project management, risk management, and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development.
11 Knowledge of the global and social effects of engineering practices on health, environment, and safety issues, and knowledge of the contemporary issues in engineering areas; awareness of the possible legal consequences of engineering practices.
12 Ability to work in the fields of both thermal and mechanical systems including the design and production steps of these systems.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 2 28
Presentation/Seminar Prepration
Project
Report
Homework Assignments 5 2 10
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 10 20
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 126