13E053SAU1 - Control Systems 1

Course specification
Course title		Control Systems 1
Acronym		13E053SAU1
Study programme		Electrical Engineering and Computing
Module		Signals and Systems
Type of study		bachelor academic studies
Lecturer (for classes)		professor PhD Željko Đurović
Lecturer/Associate (for practice)		asst. Aleksa Stojić, electrical and computer engineer Aleksa Jovanović, electrical and computer engineer
Lecturer/Associate (for OTC)		professor PhD Aleksandra Krstić asst. professor PhD Sanja Vujnović asst. MA Nikola Knežević, electrical and computer engineer asst. MA Marija Novičić, electrical and computer engineer asst. Aleksa Stojić, electrical and computer engineer Aleksa Jovanović, electrical and computer engineer Maša Tiosavljević, electrical and computer engineer
ESPB		6.0	Status	mandatory
Condition		none
The goal		Objective of the course is to inform the students about the techniques for modeling of continuous and discrete-time systems, to analyze their behavior (in time, frequency and complex domain), to analyze systems given in the state-space form, to close the loop in the state-space, and different criteria for stability checking.
The outcome		Learning outcomes of the course are for students to have the following skills: to make an exhaustive analysis of continuous and discrete systems, to make simulation of its behavior either using input/output or state-space approach, to design state observer, to close the loop based on states or measurements and to make a proper stability analysis.
Contents
URL to the subject page		http://automatika.etf.rs/sr/13e053sau1
Contents of lectures		Modeling of electromechanical systems, characterization of continuous and discrete systems. Discretization of continuous systems. State-space models. State controllability and observability. Design of state observers. Design of closed/loop systems based on states and measurements. Stability of continuous and discrete systems.
Contents of exercises		Students have obligation to solve four practical problems in the laboratory (some of them are related to experiments with servo-mechanism with DC motor, the others are related to systems simulation and design of state observer using MATLAB program).
Literature
Automatic control systems, Z. Djurovic, B. Kovacevic, Academic mind, 2006. Modern Control Engineering, Ogata,Prentice Hall, 2010.
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
3	2	1
Methods of teaching		45 hours of lectures + 15 hours of auditory exercises + 15 hours of practical exercises
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	60
Practical lessons		0	Oral examination	0
Projects
Colloquia		40
Seminars		0