FACULTY OF ENGINEERING

Department of Mechatronics Engineering

MCE 450 | Course Introduction and Application Information

Course Name
Control Systems Design
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
MCE 450
Fall/Spring
3
0
3
6

Prerequisites
  MCE 310 To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Problem Solving
Q&A
Simulation
Application: Experiment / Laboratory / Workshop
Lecture / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives The course aims to broaden the student knowledge on state-space models, design and analysis of control systems in state-space. Students will gain experience on the design of different PID structures.
Learning Outcomes The students who succeeded in this course;
  • Identify the requirements of control system
  • Employ state-space techniques to control problem
  • Analyze observability, controllability and stabilizabilit
  • Design control systems using modern engineering tools
  • Employ different PID structures
  • Develop control application projec
Course Description Structure of control systems, review of basic definitions, classification of systems, control system component selection, state-space models, Pole placement method, observability, controllability and stabilizability, different PID stuructures in control system design, application examples

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction to Control System Modern Control Engineering: Chapter1
2 Classification of Systems Modern Control Engineering: Chapter 5
3 State-space models Modern Control Engineering: Chapter 3
4 Transfer function to state space Modern Control Engineering: Chapter 11
5 State Transition Matrix Modern Control Engineering: Chapter 11
6 Observability and Controllability Modern Control Engineering: Chapter 11
7 Pole Placement- Ackerman Method Modern Control Engineering: Chapter 12
8 Linear Quadratic Control Modern Control Engineering: Chapter 12
9 Midterm Exam
10 Review of control theory (Dead-time Systems, Pade Approximation) Modern Control Engineering: Chapter 5, 8
11 Review of control theory (minimum phase and non-minimum phase systems) Modern Control Engineering: Chapter 5, 8
12 PID Design in Frequency Domain Modern Control Engineering: Chapter 9
13 Different PID Control Structures Modern Control Engineering: Chapter 10
14 Application Examples Handbook of PI and PID Controller Tuning Rules: Design Examples
15 Review of Semester
16 Final Exam

 

Course Notes/Textbooks

1. Modern Control Engineering, Ogata, Prentice-Hall, 2002, ISBN 0-13-043245-8.

2. Handbook of PI and PID Controller Tuning Rules, A. O'Dwyer, Imperial College Press, c2006..

Suggested Readings/Materials

1. Modern Control Systems, Dorf-Bishop.12th Ed. Addison Wesley, ISBN-13:978-0-13-602458-3, 2010. 2. Control Tutorials for Matlab: http://www.engin.umich.edu/group/ctm/index.html

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
20
Presentation / Jury
Project
1
10
Seminar / Workshop
Oral Exams
Midterm
1
30
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
3
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
16
3
48
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
1
20
20
Presentation / Jury
0
Project
1
24
24
Seminar / Workshop
0
Oral Exam
0
Midterms
1
20
20
Final Exam
1
20
20
    Total
180

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

To have knowledge in Mathematics, science, physics knowledge based on mathematics; mathematics with multiple variables, differential equations, statistics, optimization and linear algebra; to be able to use theoretical and applied knowledge in complex engineering problems

2

To be able to identify, define, formulate, and solve complex mechatronics engineering problems; to be able to select and apply appropriate analysis and modeling methods for this purpose.

X
3

To be able to design a complex electromechanical system, process, device or product with sensor, actuator, control, hardware, and software to meet specific requirements under realistic constraints and conditions; to be able to apply modern design methods for this purpose.

X
4

To be able to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Mechatronics Engineering applications; to be able to use information technologies effectively.

X
5

To be able to design, conduct experiments, collect data, analyze and interpret results for investigating Mechatronics Engineering problems.

6

To be able to work effectively in Mechatronics Engineering disciplinary and multidisciplinary teams; to be able to work individually.

X
7

To be able to communicate effectively in Turkish, both in oral and written forms; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions.

8

To have knowledge about global and social impact of engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; information on standards used in engineering applications.

10

To have knowledge about industrial practices such as project management, risk management and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

Using a foreign language, he collects information about Mechatronics Engineering and communicates with his colleagues. ("European Language Portfolio Global Scale", Level B1)

12

To be able to use the second foreign language at intermediate level.

13

To recognize the need for lifelong learning; to be able to access information; to be able to follow developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Mechatronics Engineering.

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

 


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