MMU649 - ROBUST CONTROL

Course Name Code Semester Theory
(hours/week)		 Application
(hours/week)		 Credit ECTS
ROBUST CONTROL MMU649 Any Semester/Year 3 0 3 8
PrequisitesMMÜ 324; MMÜ 516
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Question and Answer
Preparing and/or Presenting Reports
Problem Solving
 
Instructor (s) Dr S. ÇaÄŸlar BaÅŸlamışlı 
Course objectiveUsing robust control tools to analyze complex systems and design controllers  
Learning outcomes
  1. Display his knowledge on H 2 ve H00 spaces
  2. Display his knowledge on internal stability
  3. Define performance specifications and design limitations
  4. Reduce system order with balanced order reduction techniques Display his knowledge on robustness and uncertainty
  5. Calculate Linear Fractional Transformations Display his knowledge on the µ norm concept and perform µ - synthesis
  6. Build algebraic Ricatti Equations Design H2 controllers
  7. Design Hoo controllers Reduce controller order
Course Content
Linear Algebra Review
Linear Systems

H 2 & H00 Spaces

Internal Stability

Performance Specifications and Limitations

Balanced Model Reduction

Uncertainty & Robustness

Linear Fractional Transformation

µ and µ - Synthesis

Controller parameterization

Algebraic Riccati equations

H2 Optimal Control
Hoo Control
Controller order Reduction

 
ReferencesEssentials Of Robust Control Kemin Zhou, Louisiana State University
John C. Doyle, California Institute of Technology
Published September, 1997 by Prentice Hall
Copyright 1998
 

Course outline weekly

WeeksTopics
Week 1Review of Linear Algebra Concepts
Week 2Review of Linear Algebra Concepts (cont)
Week 3Properties of Linear Systems
Week 4H2 ve Hoo spaces
Week 5Internal Stability
Week 6Internal Stability (cont)
Week 7Performance specifications and design limitations
Week 8performance specifications and design limitations (cont)
Week 9Balanced Order Reduction
Week 10Uncertainty and Robustness
Week 11Linear Fractional Transformation
Week 12µ and µ synthesis
Week 13Algebraic Ricatti Equation
Week 14H2 ve Hoo controller design, Controller Order Reduction
Week 15
Week 16Final Examination

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments00
Presentation00
Project660
Seminar00
Midterms00
Final exam140
Total100
Percentage of semester activities contributing grade succes660
Percentage of final exam contributing grade succes140
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)12224
Presentation / Seminar Preparation000
Project630180
Homework assignment000
Midterms (Study duration)000
Final Exam (Study duration) 11010
Total Workload3345256

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Has the theoretical and practical knowledge to improve and deepen the information in the different fields of the mechanical eng ineering at the level of expertize based on the undergraduate engineering outcomes.    X
2. Realizes the interaction between the interdiciplines in which the mechanical engineering applications take place.   X 
3. Uses the theoretical and practical knowledge at the levels of expertize in which he/she gains from his/her field in solving engineering problems.    X
4. Has the ability to be able to interpret and develop new information via combining his/her knowledge in which he/she becomes expert with the knowledge that comes from different diciplines.   X 
5. Has the abilitiy to be able to solve the problems in engineering applications using research methods.    X
6. Be able to perform an advanced level work in his/her field independently.    X
7. Takes the responsibility and develops new strategical approaches for solving encountered and unforeseen complicated problems in engineering applications    X 
8. Be able to lead when the problems encountered are in the fields of the mechanical engineering in which he/she specialized     X
9. Evaluates the information and skills which he/she gains at the level of expertize in the specifics of mechanical engineering and adjusts his/her learnings as and when needed.   X 
10. Systematically transfers the current progress in engineering field and his/her own studies to the groups in his/her field and to the groups out of his/her fields in written, oral and visual presentations supported by quantitative and qualitative data .     X
11. Establishes oral and written communication skills by using one foreign language at least at the level of B1 European Language Portfolia.   X 
12. Uses the information and communication technologies at the advanced level with the computer softwares as required by the area of specialization and work.     X
13. Develops strategy, policy and application plans to the problems at which engineering solutions are needed and evaluates the results within the quality processes framework.    X
14. Uses the information which he/she absorbs from his/her field, the problem solving and practical skills in interdiciplinary studies.    X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest