ISTANBUL OKAN UNIVERSITY INFORMATION PACKAGE / COURSE CATALOGUE
| Advanced Electronics and Communication Technology (English) 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: |
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| Language of instruction: | EN | ||||||||
| Course Requisites: | |||||||||
| Does the Course Require Work Experience?: | No | ||||||||
| Type of course: | Department Elective | ||||||||
| Course Level: |
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| 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 |
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| 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;
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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 |
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| Program Outcomes | |||||||||||
| 1) By carrying out scientific research in their field, graduates evaluate and interpret deeply and broadly, their findings and apply their findings. | |||||||||||
| 2) Graduates have extensive knowledge about current techniques and methods applied in engineering and their limitations. | |||||||||||
| 3) Graduates can complet and implement knowledge using scientific methods using limited or incomplete data; can use the information of different disciplines together. | |||||||||||
| 4) Graduates are aware of new and evolving practices of their profession, examinining new knowledge and learning as necessary | |||||||||||
| 5) Graduates can define and formulate problems related to the field, develop methods to solve them and apply innovative methods in solutions. | |||||||||||
| 6) Graduates develop new and/or original ideas and methods; design complex systems or processes and develop innovative / alternative solutions in their designs. | |||||||||||
| 7) Graduates design and apply theoretical, experimental and model-based research; analyze and investigate the complex problems encountered in this process. | |||||||||||
| 8) Lead in multidisciplinary teams, develop solution approaches in complex situations, work independently and take responsibility. | |||||||||||
| 9) A foreign language communicates verbally and in writing using at least the European Language Portfolio B2 General Level. | |||||||||||
| 10) Transfers the processes and outcomes of their work in a systematic and explicit manner, either written or verbally, in the national or international contexts of that area. | |||||||||||
| 11) Recognize the social, environmental, health, safety, legal aspects of engineering applications, as well as project management and business life practices, and are aware of the limitations they place on engineering applications. | |||||||||||
| 12) Consider social, scientific and ethical values in the collection, interpretation, announcement of data and in all professional activities. | |||||||||||
Course - Learning Outcome Relationship
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | By carrying out scientific research in their field, graduates evaluate and interpret deeply and broadly, their findings and apply their findings. | |
| 2) | Graduates have extensive knowledge about current techniques and methods applied in engineering and their limitations. | |
| 3) | Graduates can complet and implement knowledge using scientific methods using limited or incomplete data; can use the information of different disciplines together. | |
| 4) | Graduates are aware of new and evolving practices of their profession, examinining new knowledge and learning as necessary | |
| 5) | Graduates can define and formulate problems related to the field, develop methods to solve them and apply innovative methods in solutions. | |
| 6) | Graduates develop new and/or original ideas and methods; design complex systems or processes and develop innovative / alternative solutions in their designs. | |
| 7) | Graduates design and apply theoretical, experimental and model-based research; analyze and investigate the complex problems encountered in this process. | |
| 8) | Lead in multidisciplinary teams, develop solution approaches in complex situations, work independently and take responsibility. | |
| 9) | A foreign language communicates verbally and in writing using at least the European Language Portfolio B2 General Level. | |
| 10) | Transfers the processes and outcomes of their work in a systematic and explicit manner, either written or verbally, in the national or international contexts of that area. | |
| 11) | Recognize the social, environmental, health, safety, legal aspects of engineering applications, as well as project management and business life practices, and are aware of the limitations they place on engineering applications. | |
| 12) | Consider social, scientific and ethical values in the collection, interpretation, announcement of data and in all professional activities. |
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 | ||