13E054UIP - Industrial Process Control

Course specification
Course title		Industrial Process Control
Acronym		13E054UIP
Study programme		Electrical Engineering and Computing
Module
Type of study		bachelor academic studies
Lecturer (for classes)		professor PhD Goran Kvaščev
Lecturer/Associate (for practice)		asst. Aleksa Stojić, electrical and computer engineer Aleksa Jovanović, electrical and computer engineer asst. professor PhD Sanja Vujnović
Lecturer/Associate (for OTC)		asst. professor PhD Sanja Vujnović asst. Aleksa Stojić, electrical and computer engineer Aleksa Jovanović, electrical and computer engineer asst. MA Marija Novičić, electrical and computer engineer Maša Tiosavljević, electrical and computer engineer
ESPB		6.0	Status	elective
Condition
The goal		System modeling, optimal, predictive, adaptive and fuzzy control and design of control systems. The goal of this course is to acquire advanced skills of designing complex control systems that can be implemented in industrial processes.
The outcome		Students need to master the techniques of designing control systems of industrial processes, the implementation of the control system and visualization, through practical work in the laboratory on the real processes and equipment.
Contents
URL to the subject page		https://automatika.etf.bg.edu.rs/sr/13e054uip
URL to lectures		https://teams.microsoft.com/l/team/19%3a0xWpSVb9LfbsVmFQFBtldMi6jGNqRk1zk8-gvnXY48A1%40thread.tacv2/conversations?groupId=8ebe7157-00f1-4fb1-b599-4f848f055019&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba
Contents of lectures		1. System modeling 2. Optimal control 3. Design of control systems 4. Adaptive control 5. Predictive control 6. Fuzzy control
Contents of exercises		1.Industrial process control using a microcontroller, 2.Programing of conventional industrial controllers, 3.Visualization and supervision of industrial processes using the SCADA system, 4.TTS level control using personal computer with MATLAB and RealTIme Simulink packages
Literature
Industrial process control, scripts for lectures, s. Turajlic, Belgrade 2011th Astrom K., Wittenmark J., Computer Controlled Systems, Pearson, 1996 Goodwin G., Graebe S., Salgado M., Control System Design, Prentice-Hall, 2001 Leigh J., Control Theory: A Guided Tour, IEE, 2004
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
3	1	1
Methods of teaching		45 hours lectures + 15 hours of supervised preparing for lab-work 15 hours of supervised lab-work, estimated 15 hours of individual lab – work, and 55 hours for individual study and homework
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	55
Practical lessons		45	Oral examination	0
Projects
Colloquia		0
Seminars		0