FACULTY OF ENGINEERING

Department of Biomedical Engineering

EEE 346 | Course Introduction and Application Information

Course Name
Fundamentals of Control Systems
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
EEE 346
Fall/Spring
2
2
3
6

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Application: Experiment / Laboratory / Workshop
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives The main objective of this course is to introduce the fundamental concepts of feedback control and dynamical systems. The course aims to introduce the mathematical foundations of the system design by reviewing the Laplace transform and the solution of differential equations, the concepts of open-loop and closed-loop control systems, state variable methods, transfer functions and bounded-input bounded-output stability. The Routh-Hurwitz and Nyquist stability test, the Root locus method, the Nyquist criterion and design of feedback controllers will be taught and employed for the analysis of the feedback control systems.
Learning Outcomes The students who succeeded in this course;
  • Demonstrate the block diagram models and signal flow graph models of physical dynamic systems,
  • Calculate the time response and the state-transition matrix,
  • Explain the significance of the essential concepts of the s-plane root location and the transient response, the steady-state error of feedback control systems, and the performance indices,
  • Identify the stability of feedback control systems via the Routh-Hurwitz stability criterion,
  • Explain the fundamentals of the Root-Locus procedure and apply the parameter design by the Root-Locus method,
  • Recognize the stability in the frequency domain applying the Nyquist criterion, the relative stability and time domain performance criteria in the frequency domain,
  • Simulate learned techniques for the analysis and design of control systems using Matlab and its control toolbox.
Course Description This course includes subject areas such as analysis and synthesis of continuous and sample data linear feedback control systems. properties and advantages of feedback systems, time-domain and frequency-domain performance measures, stability and degree of stability, the Nyquist criterion, frequency-domain control system design, the Root-locus method and application to a wide variety of physical systems.

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction to Control Systems, 1.2 Brief History of Automatic Control; 1.3 Examples of Control Systems 1.4 Engineering Design 1.5 Control System Design Chapter 1. Sections 16. Modern Control Systems, 12 / E, Dorf & Bishop ©2011 | Prentice Hall , ISBN10: 0136024580 | ISBN13: 9780136024583
2 Mathematical Models of Systems 2.2 Differential Equations of Physical Systems 2.3 Linear Approximations of Physical Systems 2.4 The Laplace Transform 2.5 The Transfer Function of Linear Systems Chapter 2. Sections 15. Modern Control Systems, 12 / E, Dorf & Bishop ©2011 | Prentice Hall , ISBN10: 0136024580 | ISBN13: 9780136024583.
3 Mathematical Models of Systems 2.5 The Transfer Function of Linear Systems 2.6 Block Diagram Models 2.7 Signal Flow Graph Models 2.8 Design Examples 2.9 The Simulation of Systems Using Control Design Software Chapter 2. Sections 15. Modern Control Systems, 12 / E, Dorf & Bishop ©2011 | Prentice Hall , ISBN10: 0136024580 | ISBN13: 9780136024583.
4 State Variable Models 3.2 The State Variables of a Dynamic System 3.3 The State Differential Equation Chapter 3. Sections 15. Modern Control Systems, 12 / E, Dorf & Bishop ©2011 | Prentice Hall , ISBN10: 0136024580 | ISBN13: 9780136024583
5 State Variable Models 3.4 Signal-Flow Graph and Block Diagram Models 3.5 Alternative Signal-Flow Graph and Block Diagram Models Chapter 3. Sections 15. Modern Control Systems, 12 / E, Dorf & Bishop ©2011 | Prentice Hall , ISBN10: 0136024580 | ISBN13: 9780136024583
6 State Variable Models 3.6 The Transfer Function from the State Equation 3.7 The Time Response and the State Transition Matrix 3.8 Design Examples 3.9 Analysis of State Variable Models Using Control Design Software Chapter 3. Sections 15. Modern Control Systems, 12 / E, Dorf & Bishop ©2011 | Prentice Hall , ISBN10: 0136024580 | ISBN13: 9780136024583
7 Feedback Control System Characteristics 4.2 Error Signal Analysis 4.3 Sensitivity of Control Systems to Parameter Variations 4.4 Disturbance Signals in a Feedback Control System 4.5 Control of the Transient Response 4.6 Steady-State Error 4.7 The Cost of Feedback 4.8 Design Examples Chapter 4. Sections 18. Modern Control Systems, 12 / E, Dorf & Bishop ©2011 | Prentice Hall , ISBN10: 0136024580 | ISBN13: 9780136024583
8 Midterm
9 The Performance of Feedback Control Systems 5.2 Test Input Signals 5.3 Performance of Second Order Systems 5.4 Effects of a Third Pole and a Zero on the Second Order System Response 5.5 The s-Plane Root Location and the Transient Response 5.6 The Steady-State Error of Feedback Control Systems 5.7 Performance Indices Chapter 5. Sections 17. Modern Control Systems, 12 / E, Dorf & Bishop ©2011 | Prentice Hall , ISBN10: 0136024580 | ISBN13: 9780136024583
10 The Stability of Linear Feedback Systems 6.1 The Concept of Stability 6.2 The Routh—Hurwitz Stability Criterion 6.3 The Relative Stability of Feedback Control Systems 6.4 The Stability of State Variable Systems Chapter 6. Sections 14. Modern Control Systems, 12 / E, Dorf & Bishop ©2011 | Prentice Hall , ISBN10: 0136024580 | ISBN13: 9780136024583
11 The Root Locus Method 7.6 PID Controllers 7.7 Negative Gain Root Locus 7.8 Design Examples 7.9 The Root Locus Using Control Design Software Chapter 7. Sections 69. Modern Control Systems, 12 / E, Dorf & Bishop ©2011 | Prentice Hall , ISBN10: 0136024580 | ISBN13: 9780136024583
12 The Root Locus Method 7.6 PID Controllers 7.7 Negative Gain Root Locus 7.8 Design Examples 7.9 The Root Locus Using Control Design Software Chapter 7. Sections 69. Modern Control Systems, 12 / E, Dorf & Bishop ©2011 | Prentice Hall , ISBN10: 0136024580 | ISBN13: 9780136024583
13 Frequency Response Methods 8.2 Frequency Response Plots 8.3 Frequency Response Measurements 8.4 Performance Specifications in the Frequency Domain 8.5 Log Magnitude and Phase Diagrams Chapter 8. Sections 15. Modern Control Systems, 12 / E, Dorf & Bishop © 2011 | Prentice Hall , ISBN10: 0136024580 | ISBN13: 9780136024583
14 Stability in the Frequency Domain 9.2 Mapping Contours in the s-Plane 9.3 The Nyquist Criterion 9.4 Relative Stability and the Nyquist Criterion 9.5 Time Domain Performance Criteria in the Frequency Domain 9.6 System Bandwidth Chapter 9. Sections 16. Modern Control Systems, 12 / E, Dorf & Bishop ©2011 | Prentice Hall , ISBN10: 0136024580 | ISBN13: 9780136024583
15 The Design of Feedback Control Systems 10.2 Approaches to System Design 10.3 Cascade Compensation Networks 10.4 Phase-Lead Design Using the Bode Diagram 10.5 Phase-Lead Design Using the Root Locus 10.6 System Design Using Integration Networks 10.7 Phase-Lag Design Using the Root Locus 10.8 Phase-Lag Design Using the Bode Diagram 10.9 Design on the Bode Diagram Using Analytical Methods Chapter 10. Sections 19. Modern Control Systems, 12 / E, Dorf & Bishop ©2011 | Prentice Hall , ISBN10: 0136024580 | ISBN13: 9780136024583
16 Final Exam

 

Course Notes/Textbooks

Modern Control Systems, 12 / E, Dorf & Bishop ©2011  |  Prentice Hall , ISBN10: 0136024580 | ISBN13: 9780136024583

Suggested Readings/Materials

Modern Control Engineering, 5 / E, Ogata, ©2010,  Prentice Hall, Published: 08/25/2009, ISBN10: 0136156738 | ISBN13: 9780136156734Control System Design, 1 / E, Goodwin, Graebe & Salgado, ©2001, Prentice Hall, Published: 09/26/2000 ISBN10: 0139586539, ISBN13: 9780139586538Feedback Control Systems, 4 / E, Phillips & Harbor©2000, Prentice Hall,  Published: 08/09/1999, ISBN10: 0139490906, ISBN13: 9780139490903

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
1
25
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
1
25
Final Exam
1
50
Total

Weighting of Semester Activities on the Final Grade
4
70
Weighting of End-of-Semester Activities on the Final Grade
1
30
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
2
32
Study Hours Out of Class
14
2
28
Field Work
0
Quizzes / Studio Critiques
10
0
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
30
30
Final Exam
1
40
40
    Total
162

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

To have adequate knowledge in Mathematics, Science and Biomedical Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

2

To be able to identify, define, formulate, and solve complex Biomedical Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

3

To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose.

4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Biomedical Engineering applications.

5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Biomedical Engineering research topics.

6

To be able to work efficiently in Biomedical Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

7

To be able to communicate effectively in Turkish, both orally and in writing; 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 Biomedical 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; to have knowledge about standards utilized 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

To be able to collect data in the area of Biomedical Engineering, and to be able to communicate with colleagues in a foreign language.

12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Biomedical Engineering.

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

 


Social Media

NEWS |ALL NEWS

Izmir University of Economics
is an establishment of
izto logo
Izmir Chamber of Commerce Health and Education Foundation.
ieu logo

Sakarya Street No:156
35330 Balçova - İzmir / Turkey

kampus izmir

Follow Us

İEU © All rights reserved.