Energy Systems Engineering (English)
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

General course introduction information

Course Code:

ME461

Course Name:

Systems and Control II

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	5

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Compulsory

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr.Öğr.Üyesi ALPER TEZCAN

Course Lecturer(s):

Dr. İSMAİL BAYEZİT

Course Assistants:

Course Objective and Content

Course Objectives:

The objective of this course is to cover linear algebra review, state-space modeling, controllability, observability, minimal realizations, stability, design using linear state feedback control laws, observers, introduction to optimal control.

Course Content:

• Introduction of the course.
• Vector spaces
• Basis and orthogonality
• Transformations
• Range and null space
• Eigenvalues and eigenvectors
• Norms of vectors and matrices
• State equation solution
• Impulse response
• Laplace domain representation
• Coordinate transformation
• Engineering system examples
• Controllability examples
• Coordinate transformations and controllability
• Engineering system examples
• Observability examples
• Coordinate transformations and observability
• Engineering system examples
• Minimality of single-single output realizations
• Internal stability
• Bounded-input, bounded-output stability
• Asymptotic stability
• Engineering system examples
• Midterm Exam
• State feedback control law
• Shaping the dynamic response
• Closed-loop eigenvalue placement via state feedback
• Engineering system examples
• Steady state tracking
• Application of design using linear state feedback control laws to engineering system examples
• Observers
• Observer-based compensators
• Application of observers to engineering system examples
• Optimal control problems
• The linear quadratic regulator
• Apply linear quadratic regulator to detailed engineering system
• Final Exam

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Frekans domenindeki yöntemleri kullanarak kontrol sistemlerini tasarlayabilecektir.
2 - Skills
Cognitive - Practical
1) Will be able to model and describe engineering systems mathematically using state-space.
2) Will be able to simulate engineering systems using MATLAB/Simulink.
3) Will be able to design control systems using state-space techniques.
4) Will be able to determine stability of systems.
5) Will be able to design control systems using optimal control techniques.
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Introduction of the course.	none
2)	• Vector spaces • Basis and orthogonality • Transformations	none
3)	• Range and null space • Eigenvalues and eigenvectors • Norms of vectors and matrices	none
4)	• State equation solution • Impulse response • Laplace domain representation • Coordinate transformation • Engineering system examples	none
5)	• Controllability examples • Coordinate transformations and controllability • Engineering system examples	none
6)	• Observability examples • Coordinate transformations and observability • Engineering system examples	none
7)	• Minimality of single-single output realizations	none
8)	• Internal stability • Bounded-input, bounded-output stability • Asymptotic stability • Engineering system examples	none
9)	Midterm	none
10)	• State feedback control law • Shaping the dynamic response • Closed-loop eigenvalue placement via state feedback • Engineering system examples	none
11)	• Steady state tracking • Application of design using linear state feedback control laws to engineering system examples	none
12)	• Internal stability • Bounded-input, bounded-output stability • Asymptotic stability • Engineering system examples	none
13)	• Optimal control problems • The linear quadratic regulator	none
14)	• Apply linear quadratic regulator to detailed engineering system	none

Sources

Course Notes / Textbooks:	Linear State-Space Control Systems Hardcover – February 9, 2007 by Robert L. Williams II (Author), Douglas A. Lawrence (Author)
References:	Benjamin C. Kuo, Farid Golnaraghi, Automatic Control Systems, 9E John Wiley High Education, 2009. Ogata,K. Modern Control Engineering, 5th Edition, International Edition, Pearson, 2013.

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3	4	5	6
Program Outcomes
1) Closed Department

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Closed Department

Learning Activity and Teaching Methods

Field Study
Lesson
Reading
Problem Solving

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 40
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	15	3	45
Study Hours Out of Class	15	6	90
Midterms	1	7	7
Final	1	8	8
Total Workload			150