>
Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Robust and Optimal Control of Linear Systems MMK573 Elective Doctorate degree 1 Fall 10

Name of Lecturer(s)

Associate Prof. Dr. Fevzi Çakmak BOLAT

Learning Outcomes of the Course Unit

1) • Can use the modeling and analysis methods of Robust control systems.
2) • Can design H-infinity controller for linear control systems.
3) • Gain the ability to simulate control systems.
4) • To make use of modern techniques, skills and equipment in advanced engineering practice.

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7 8 9 10 11 12 13
Learning Outcomes
1 High Middle Low No relation Middle No relation High No relation High Middle No relation High Low
2 Middle High High High Middle Middle Low Low Middle No relation High No relation Low
3 Low Middle High Middle Middle No relation High Low Low Low High High Middle
4 Middle High Low Low High Middle Middle High Middle High Low Middle High

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Not Required

Course Contents

Examination of control system structure. Modeling of control system components. Block diagram operations. Giving the basics of Matlab program. Frequency shaping LQ design, Observer design, Observer based control, LQG Control, Kalman filter, LQG control design Norm concept, H-2 norm and its calculation, H-infinity norm and its calculation. Modeling of System Uncertainties, Total and product uncertainties, Modeling of Uncertainties in Mechanical Systems.

Weekly Schedule

1) Examination of control system structure. Modeling of control system components. Block diagram operations. Giving the basics of Matlab program
2) Linear system definition. Obtaining the state space equation. Getting the transfer matrix. Transformation of state space equation. Solution of state space equation. Frequency response analysis.
3) System stability, General Lyapunov stability analysis, Lyapunov stability analysis of linear systems, Controllability, Controllability Gramian matrix, Measurability, Measurability matrix and Gramian.
4) State variable feedback control, Linear Quadratic Regulator (LQR), Solution of optimum control sample problems, Linear Quadratic Integrator (LQI)
5) Frequency shaping LQR design, Observer design, Observer based control, LQR Control, Kalman filter, LQG control design.
6) Concept of norm, H2 norm and calculation, H-infinity norm and calculation.
7) LFT approach, Modeling of parametric uncertainties, LFT extraction of parametric uncertainties, LFT Structure of Feedback Control System, Internal stability analysis.
8) Midterm
9) General system structure, Frequency shaping filters, Inclusion of frequency shaping filters in the general system structure.
10) H-infinity normu, Singüler Değerlere Ayırma, Küçük Kazanç Teoremi, Yapısal Olamayan Belirsizlikler ve Robust Kararlılık.
11) Loop Shaping, Mixing sensitivity problem.
12) H-infinity kontrol tasarımı, Kontrol tasarım örneği.
13) H-infinity control design examples, introduction to the algorithm used to calculate the H-infinity controller.
14) H-infinity control design examples, introduction to the algorithm used to calculate the H-infinity controller.
15) H-infinity control design project work.
16) Final Exam

Recommended or Required Reading

1- K. Zhou, J. Doyle, Essentials of Robust Control

Planned Learning Activities and Teaching Methods

1) Lecture
2) Question-Answer
3) Discussion
4) Modelling
5) Simulation
6) Problem Solving
7) Project Based Learning


Assessment Methods and Criteria

Contribution of Midterm Examination to Course Grade

40%

Contribution of Final Examination to Course Grade

60%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required