OS4UIP - Industrial Process Control

Course specification
Course title		Industrial Process Control
Acronym		OS4UIP
Study programme		Electrical Engineering and Computing
Module		Signals and Systems
Type of study		bachelor academic studies
Lecturer (for classes)		professor PhD Goran Kvaščev
Lecturer/Associate (for practice)		asst. professor PhD Sanja Vujnović
Lecturer/Associate (for OTC)		asst. professor PhD Sanja Vujnović
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
Upravljanje industrijskim procesima, skripta za praćenje predavanja, S. Turajlić, Beograd 2011. (Original title) 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) Leigh J., Control Theory: A Guided Tour, IEE, 2004 (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	40
Practical lessons		45	Oral examination	15
Projects		0
Colloquia		0
Seminars		0