ME461 Systems and Control IIIstanbul Okan UniversityDegree Programs Automotive Engineering (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Automotive 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: Spring
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 5
Language of instruction: EN
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Faculty Elective
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) Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.
10) Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.
11) Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions.
12) Knowledge on advanced calculus, including differential equations applicable to automotive engineering; familiarity with statistics and linear algebra; knowledge on chemistry, calculus-based physics, dynamics, structural mechanics, structure and properties of materials, fluid dynamics, heat transfer, manufacturing processes, electronics and control, design of vehicle elements, vehicle dynamics, vehicle power train systems, automotive related regulations and vehicle validation/verification tests; ability to integrate and apply this knowledge to solve multidisciplinary automotive problems; ability to apply theoretical, experimental and simulation methods and, computer aided design techniques in the field of automotive engineering; ability to work in the field of vehicle design and manufacturing.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.
10) Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.
11) Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions.
12) Knowledge on advanced calculus, including differential equations applicable to automotive engineering; familiarity with statistics and linear algebra; knowledge on chemistry, calculus-based physics, dynamics, structural mechanics, structure and properties of materials, fluid dynamics, heat transfer, manufacturing processes, electronics and control, design of vehicle elements, vehicle dynamics, vehicle power train systems, automotive related regulations and vehicle validation/verification tests; ability to integrate and apply this knowledge to solve multidisciplinary automotive problems; ability to apply theoretical, experimental and simulation methods and, computer aided design techniques in the field of automotive engineering; ability to work in the field of vehicle design and manufacturing.

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