13E054UIP - Industrial Process Control

Course specification
Course title		Industrial Process Control
Acronym		13E054UIP
Study programme		Electrical Engineering and Computing
Module		Electronics, Electronics and Digital Systems, Signals and Systems
Type of study		bachelor academic studies,master 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
Lecturer/Associate (for OTC)		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		The student should master the techniques of designing automatic control systems for industrial processes, as well as the implementation of control and visualization systems through practical work in the laboratory on real processes and equipment.
Contents
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. Control of industrial processes using a programmable logic controller (PLC) 2. Implementation and tuning of conventional industrial controllers 3. Visualization and monitoring of industrial processes using a SCADA system 4. Control of level, flow, and temperature using the Siemens SPPA-T3000 platform
Literature
Industrial process control, scripts for lectures, s. Turajlic, Belgrade 2011th Mehta, Bodh Raj, and Y. Jaganmohan Reddy. Industrial process automation systems: design and implementation. Butterworth-Heinemann, 2014. (Original title) G. Kvaščev, PID Control – Analysis and Synthesis, University of Belgrade – School of Electrical Engineering, 2023 Astrom K., Wittenmark J., Computer Controlled Systems, Pearson, 1996 (Original title) Goodwin G., Graebe S., Salgado M., Control System Design, Prentice-Hall, 2001 (Original title)
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	60
Practical lessons		40	Oral examination	0
Projects		0
Colloquia		0
Seminars		0