COURSE UNIT TITLE

: DIGITAL CONTROL

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EED 4301 DIGITAL CONTROL 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 GÜLESER KALAYCI DEMIR

Offered to

Electrical and Electronics Engineering

Course Objective

This course aims to introduce you to the fundamentals of digital control theory and to teach the techniques of control system design.

Learning Outcomes of the Course Unit

1   Be able to describe the fundamental components of digital control systems
2   Be able to derive mathematical models applicable to the design of relevant control systems
3   Be able to analyze the sampled data feedback loops by z transform
4   Be able to implement stability tests and root locus techniques
5   Be able to use proper techniques for digital controller design
6   Be able to analyze and design of simple discrete control systems using root-locus, frequency response and state-space methods
7   Be able to use MATLAB and SIMULINK in the analysis, design and simulation of discrete-time control systems

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

EED 3008 - MICROPROCESSOR SYSTEMS
EED 3006 - CONTROL SYSTEMS
EED 3018 - MICROPROCESSOR SYSTEMS
EED 3016 - CONTROL SYSTEMS

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to digital control systems
2 Sampling and reconstruction
3 Z-transforms
4 State-variable theory for digital and sampled-data systems
5 Discrete-time approximation of continuous-time controllers
6 Stability of digital control systems
7 Time-domain analysis
8 Exam-1
9 Time-domain analysis
10 Frequency-domain analysis
11 Controllability and observability
12 Design of digital controllers
13 Exam-2
14 Design of digital controllers

Recomended or Required Reading

Digital Control System Analysis and Design, Charles L. Phillips, H. Troy Nagle, 2015, Pearson.

Planned Learning Activities and Teaching Methods

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.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Hatice Doğan
Dokuz Eylül Üniversitesi, Mühendislik Fakültesi,
Elektrik Elektronik Mühendisliği Bölümü,
Tınaztepe Kampüsü, Buca -Izmir
e-mail: hatice.dogan@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Practice 13 2 26
Preparations before/after weekly lectures 13 1 13
Preparation for final exam 1 12 12
Preparation for midterm exam 2 10 20
Preparing the laboratory notebook 10 3 30
Final 1 2 2
Midterm 2 2 4
TOTAL WORKLOAD (hours) 146

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.154
LO.245
LO.3452
LO.4452
LO.5452
LO.64552
LO.74423