ME313 Systems and ControlIstanbul 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: ME313
Course Name: Systems and Control
Course Semester: Fall
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: 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): Prof. Dr. RAMAZAN NEJAT TUNCAY
Course Assistants:

Course Objective and Content

Course Objectives: The objective of this course is modeling in time domain and frequency domain, time response, stability, steady state errors, block diagrams, root locus and frequency techniques, design by root locus and frequency techniques.

Course Content: • Introduction of the course.
• Control system definition
• Applications of control systems
• Laplace Transform
• Transfer Functions
• Block Diagrams
• Mechanical systems
• Rotational systems
• Gear systems
• Electrical networks
• Electromechanical systems
• First order systems
• Second order systems
• Damping ratio and natural frequency of a second order system
• Settling time, peak time, percent overshoot, rise time
• Stability
• Routh’s Stability Criterion
• Steady-state errors in unity-feedback control systems
• Static error constants and system type
• Steady-state error specifications
• Properties of the Root Locus
• Drawing Root-Locus
• Refining the drawing
• Midterm Exam
• Transient response design via gain adjustment
• Generalized root locus
• Improving steady state error via compensation
• Improving transient response via compensation
• Improving steady-state error and transient response
• Asymptotic approximations of Bode Plots
• Drawing Nyquist diagram
• Nyquist stability criterion
• Gain margin and phase margin via the Nyquist diagram
• Stability, gain margin and phase margin via Bode Plots
• Relationship between closed loop transient and closed loop frequency responses
• Relationship between closed and open loop frequency responses
• Relationship between closed loop transient and open loop frequency responses
• Steady state error characteristics from frequency response
• Systems with time delay
• Transient response via gain adjustment
• Lag compensation
• Lead compensation
• Lag-Lead compensation
• Final Exam

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
1) Model and describe engineering systems mathematically using Laplace transform
2) Simulate engineering systems using MATLAB/Simulink.
3) Use poles and zeros of transfer functions to determine the time response of a control system
4) Determine stability of systems.
5) Sketch a root locus
6) Design control systems using Root-Locus plots.
7) Design control systems using Bode-Plots.
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) • Introduction of the course. • Control system definition • Applications of control systems -
2) • Laplace Transform • Transfer Functions • Block Diagrams -
3) • Mechanical systems • Rotational systems -
4) • Gear systems • Electrical networks • Electromechanical systems -
5) • First order systems • Second order systems • Damping ratio and natural frequency of a second order system • Settling time, peak time, percent overshoot, rise time -
6) • Stability • Routh’s Stability Criterion -
7) • Steady-state errors in unity-feedback control systems • Static error constants and system type • Steady-state error specifications -
8) • Properties of the Root Locus • Drawing Root-Locus • Refining the drawing -
9) Midterm -
10) • Transient response design via gain adjustment • Generalized root locus -
11) • Improving steady state error via compensation • Improving transient response via compensation • Improving steady-state error and transient response -
12) • Asymptotic approximations of Bode Plots • Drawing Nyquist diagram • Nyquist stability criterion • Gain margin and phase margin via the Nyquist diagram • Stability, gain margin and phase margin via Bode Plots -
13) • Relationship between closed loop transient and closed loop frequency responses • Relationship between closed and open loop frequency responses • Relationship between closed loop transient and open loop frequency responses • Steady state error characteristics from frequency response • Systems with time delay -
14) • Transient response via gain adjustment • Lag compensation • Lead compensation • Lag-Lead compensation -
15) Final -

Sources

Course Notes / Textbooks: Nise,N.S., Control Systems Engineering, 6th Edition, Wiley, 2011.
References: Benjamin C. Kuo, Farid Golnaraghi, Automatic Control Systems, 9E John Wiley High Education, 2009.

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

4

5

6

7

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. 3
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose. 4
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.) 2
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively. 4
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics. 2
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

Expression
Brainstorming/ Six tihnking hats
Lesson
Problem Solving
Q&A / Discussion

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 14 4 56
Midterms 1 39 39
Final 1 40 40
Total Workload 135