# COURSE UNIT TITLE

: CONTROL SYSTEMS MODELING AND SIMULATIONS

#### Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EED 4303 CONTROL SYSTEMS MODELING AND SIMULATIONS ELECTIVE 3 2 0 6

#### Offered By

Electrical and Electronics Engineering

#### Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

#### Course Coordinator

ASISTANT PROFESSOR HATICE DOĞAN

#### Offered to

Electrical and Electronics Engineering

#### Course Objective

The aim of this course is to teach the control system modelling by using both computer simulation and mathematical techniques.

#### Learning Outcomes of the Course Unit

 1 Be able to identify the fundamentals of modeling and simulation of the control systems. 2 Be able to derive the mathematical models of the control system plants. 3 Be able to apply basic system identification techniques 4 Be able to predict the dynamic behaviour of the control systems 5 Be able to use MATLAB and simulink software for the control system modelling and simulations 6 Be able to validate the models and report the results

Face -to- Face

#### Prerequisites and Co-requisites

EED 3006 - CONTROL SYSTEMS
EED 3016 - CONTROL SYSTEMS

None

#### Course Contents

 Week Subject Description 1 Introduction to modeling and simulation 2 Differential Equations Introduction to Simulink 3 Modelling I: White Box Modelling Modelling of Mechanical Systems 4 Modelling I: White Box Modelling Modelling of Electrical Systems 5 Linearization of Nonlinear Systems White box modelling examples 6 Modelling II: System Identification Non-parametric Methods I 7 Modelling II: System Identification Non-parametric Methods II 8 Midterm-I 9 Modelling II: System Identification Parameter Estimation Methods Static Systems 10 Modelling II: System Identification Parameter Estimation Methods Dynamic Systems 11 Modelling II: System Identification Parameter Estimation Methods Dynamic Systems II 12 Midterm II 13 Model Validation Techniques 14 Developing Models from Experimental Data using System Identification MATLAB Toolbox

-System Identification: An Introduction, Karel J. Keesman, Springer-Verlag 2011.
-System Identification - Theory For the User, L. Ljung, PTR Prentice Hall, 1999
-SIMULINK Dynamic System Simulation for MATLAB, Mathworks, 2011.

Resources:
-Mathematical Modeling and Simulation: Introduction for Scientists and Engineers, Kai Velten , Wiley-VCH,2009.
-Modeling and simulation of dynamic systems, R. L., and Lawrence, K. L. Prentice-Hall, 1997.
-Modeling and Simulation for Automatic Control, Olav Egeland and Jan Tommy Gravdahl, 2002, Marinecybernetics.
-Simulation of Dynamic Systems with MATLAB and Simulink, Klee, H.,CRC Press, 2007.

#### Planned Learning Activities and Teaching Methods

A series of lectures on course materials will be given using PowerPoint presentations. To support course materials, laboratory studies will be done.

#### Assessment Methods

 SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE1 MIDTERM EXAM 1 2 MTE2 MIDTERM EXAM 2 3 LAB LABORATORY 4 FIN FINAL EXAM 5 FCG FINAL COURSE GRADE MTE1 * 0.15 + MTE2 * 0.20 + LAB * 0.15 + FIN * 0.50 6 RST RESIT 7 FCG FINAL COURSE GRADE MTE 1 * 0.15 + MTE 2 * 0.20 + LAB * 0.15 + RST * 0.50

*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

None

#### Assessment Criteria

Learning outcomes are evaluated by examinations and laboratory works.

English

To be announced.

#### Contact Details for the Lecturer(s)

Yrd. Doç. Dr. Hatice Doğan
e-mail:hatice.dogan@deu.edu.tr

To be announced.

None