MCHT626 Theory and Design of Advanced Control SystemsIstanbul Okan UniversityDegree Programs Automotive Mechatronics and Intelligent Vehicles (with thesis)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Automotive Mechatronics and Intelligent Vehicles (with thesis)
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

General course introduction information

Course Code: MCHT626
Course Name: Theory and Design of Advanced Control Systems
Course Semester: Fall
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 10
Language of instruction: EN
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Department Elective
Course Level:
Master TR-NQF-HE:7. Master`s Degree QF-EHEA:Second Cycle EQF-LLL:7. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Assoc. Prof. ÖMER CİHAN KIVANÇ
Course Lecturer(s): Öğr.Gör. B.Öğretim Elemanı
Dr.Öğr.Üyesi ŞİRİN KOÇ
Course Assistants:

Course Objective and Content

Course Objectives: The objective of this course is to teach advanced design and analysis methods for closed-loop linear control systems under the effects of model uncertainty, disturbance and time delay by focusing on dynamic system applications.
Course Content: The following main topics will be covered: Control System Structures, Analytical Design of SISO LTI Control Systems in Frequency Domain, Parameter Space Approach based Robust Control Methods, Disturbance Observer (DOB) based Control Systems, Time Delay in Control Systems and its Compensation, Input Shaping Control, Rapid control prototyping and Hardware-in-the-loop Simulation.

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) Students will be able to learn analytical control system design methods for SISO LTI systems in frequency domain.
2) Students will be able to design and analyze robust control systems by using parameter space approach based methods.
3) Students will be able to learn the effect of time delay in control systems and design disturbance based control systems for delay free and delayed systems.
4) Students will be able to learn different input shaping control methods for feedforward control system design.
5) Students will be able to learn the fundamentals of rapid control prototyping and Hardware-in-the-loop Simulation.
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) Introduction, Overview of Control System Structures Course Notes
2) Analytical Design of SISO LTI Control Systems in Frequency Domain: Error Constants, Phase lead compensator, PD control Course Notes
3) Analytical Design of SISO LTI Control Systems in Frequency Domain: Phase lag compensator, PI control, Phase lag-lead compensator, PID control Course Notes
4) Parameter Space Approach based Robust Control Methods: Hurwitz Stability, D-Stability Course Notes
5) Parameter Space Approach based Robust Control Methods: Mapping Frequency Domain Requirements Course Notes
6) Parameter Space Approach based Robust Control Methods: Singular Frequencies, Case Studies Course Notes
7) Disturbance Observer (DOB) based Control Systems: Continous-time DOB, Discrete-time DOB, Case study Course Notes
8) Time Delay in Control Systems: Effect of time delay, Smith Predictors, Communication Disturbance Observer (CDOB) for Time Delay Compensation Course Notes
9) Time Delay in Control Systems: Double Disturbance Observer (DDOB), Case Study Course Notes
10) Input Shaping Control: Discrete-time NMP zeros, Zero phase (ZP) compensation, Zero phase gain (ZPG) compensation Course Notes
11) Giriş Şekillendirme Kontrolü: Sıfır Faz Genişletilmiş Genlik Kompazyonu (ZPGE), Sıfır Faz Optimal Genlik Kompanzasyonu (ZPGO), Uygulama Örneği Course Notes
12) Rapid control prototyping and Hardware-in-the-loop Simulation Course Notes
13) Rapid control prototyping and Hardware-in-the-loop Simulation Course Notes
14) Rapid control prototyping and Hardware-in-the-loop Simulation Course Notes

Sources

Course Notes / Textbooks: L. Güvenç, Bilin Aksun-Güvenç, B. Demirel, M. T. Emirler, Control of Mechatronic Systems, the IET, London, 2017.
J. Ackermann, P. Blue, T. Bünte, L. Güvenç, D. Kaesbauer, M. Kordt, M. Muhler, D. Odenthal, Robust Control: The Parameter Space Approach, Springer-Verlag London, 2002.
References: L. Güvenç, Bilin Aksun-Güvenç, B. Demirel, M. T. Emirler, Control of Mechatronic Systems, the IET, London, 2017.
J. Ackermann, P. Blue, T. Bünte, L. Güvenç, D. Kaesbauer, M. Kordt, M. Muhler, D. Odenthal, Robust Control: The Parameter Space Approach, Springer-Verlag London, 2002.

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

4

5

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

Lesson
Project preparation

Assessment & Grading Methods and Criteria

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

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Project 1 % 50
Final 1 % 50
total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Project 1 175 175
Final 1 80 80
Total Workload 297