13M054UIP - Complex Industrial Process Control

Course specification
Course title		Complex Industrial Process Control
Acronym		13M054UIP
Study programme		Electrical Engineering and Computing
Module		Applied Mathematics, Audio and Video Technologies, Biomedical and Environmental Engineering, Biomedical and Nuclear Engineering, Computer Engineering and Informatics, Electronics and Digital Systems, Energy Efficiency, Information and communication technologies, Information and Communication Technologies, Microwave Engineering, Nanoelectronics and Photonics, Power Systems - Networks and Systems, Power Systems - Renewable Energy Sources, Power Systems - Substations and Power Equipment, Signals and Systems, Software Engineering
Type of study		master academic studies
Lecturer (for classes)		professor PhD Goran Kvaščev
Lecturer/Associate (for practice)		asst. MA Aleksa Stojić, electrical and computer engineer
Lecturer/Associate (for OTC)		asst. MA Aleksa Stojić, electrical and computer engineer asst. MA Marija Novičić, 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
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 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 Goodwin G., Graebe S., Salgado M., Control System Design, Prentice-Hall, 2001
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