Course: Laboratory exercises

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Course title Laboratory exercises
Course code KRP/INLC1
Organizational form of instruction Seminary
Level of course Master
Year of study 1
Semester Summer
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Kupka Libor, Ing. Ph.D.
Course content
1. Introduction, principles of work and organizing the laboratory experiment, semestral project assignment. 2. Introduction to industrial controllers, examples, configuration options. 3. Industrial regulators - the use of simulation software for their work and setting the optimal parameters. 4. Industrial regulators - the use of simulation software for their work and setting the optimal parameters. 5. Work with industrial regulators connected to the selected laboratory model. 6. Work with industrial regulators connected to the selected laboratory model. 7. Introduction to virtual measuring instruments implemented in LabVIEW, measurements on selected dynamic system. 8. Measurements on selected dynamic system using LabVIEW. 9. Connecting selected laboratory model to PC by acquisition card and Real-Time Toolbox (using Matlab - Simulink). 10. Measurements on selected dynamic system with Matlab and Simulink. 11. Design and Simulation of discrete controllers using Matlab and Simulink. 12. Design and Simulation of discrete controllers using Matlab and Simulink. 13. Submission of semestral work.

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Methods of individual activities, Demonstration, Laboratory work
Learning outcomes
To learn students to control different dynamic systems, working with industrial controllers, discrete controllers with fixed and optimized structure.
Students are able to understand the problems of discrete controllers used in practice, not only compact industrial controllers, but also more sophisticated controllers implemented using appropriate software tools.
Prerequisites
Basic knowledge of the theory of automatic control, identification and modeling of dynamic systems is needed.

Assessment methods and criteria
Home assignment evaluation, Self project defence

The student will attend exercises and in addition student will work out an individual exercises and semestral project.
Recommended literature
  • Aström, Karl J. PID controllers : Theory,design and tuning. Research Triangle Park: Instrument Society of America, 1995. ISBN 1-55617-516-7.
  • Balátě, Jaroslav. Automatické řízení. Praha: BEN - technická literatura, 2004. ISBN 80-7300-148-9.
  • Dušek, František. Matlab a Simulink : úvod do používání. Pardubice: Univerzita Pardubice, 2005. ISBN 80-7194-776-8.
  • HANUŠ, B., OLEHLA, M., MODRLÁK, O. Číslicová regulace technologických procesů: algoritny, matematicko-fyzikální analýza, identifikace, adaptace. Brno: VUT, 2000. ISBN 80-214-1460-X.
  • HLAVA, J. Prostředky automatického řízení II: analogové a číslicové regulátory, elektrické pohony, průmyslové komunikační systémy. Praha: ČVUT, 2000. ISBN 80-01-02221-8.
  • KUPKA, L., JANEČEK, J. Matlab & Simulink: řešené příklady. Lanškroun: TG tisk a SOŠ a SOU, 2007. ISBN 978-80-239-8871-0.
  • Vlach, Jaroslav. Začínáme s LabVIEW. Praha: BEN - technická literatura, 2008. ISBN 978-80-7300-245-9.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Process Control (2014) Category: Special and interdisciplinary fields 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Process Control (2016) Category: Special and interdisciplinary fields 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Process Control (2013) Category: Special and interdisciplinary fields 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Process Control (2015) Category: Special and interdisciplinary fields 1 Recommended year of study:1, Recommended semester: Summer