SylabUZ
| Course name | Design of industrial control systems |
| Course ID | 06.2-WE-ELEKTD-DofICS-Er |
| Faculty | Faculty of Engineering and Technical Sciences |
| Field of study | electrical engineering |
| Education profile | academic |
| Level of studies | Second-cycle Erasmus programme |
| Beginning semester | winter term 2023/2024 |
| Semester | 2 |
| ECTS credits to win | 6 |
| Course type | obligatory |
| Teaching language | english |
| Author of syllabus |
|
| The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
| Lecture | 30 | 2 | - | - | Credit with grade |
| Laboratory | 15 | 1 | - | - | Credit with grade |
| Project | 15 | 1 | - | - | Credit with grade |
- familiarize with the basic problems of modeling and design of industrial control systems,
- understanding problems related to design distributed control systems,
- programming of TMS320F28xxx and STM32 microcontrollers,
- implementation of controllers using microcontrollers..
Fundamentals of electrical engineering, foundations of control theory, basic knowledge of programming techniques
Introductory information, historical outline, development of control systems and design methods over the years. Basic information on control theory, definitions and concepts; open and closed control systems, classification of control systems, methods of control systems description, block diagrams and their transformation, control quality indicators, basic information about continuous and discrete controllers. Designing industrial control systems as a process, developing assumptions, project documentation, methods of controlling design processes. Basic issues in the design of industrial process control systems and process lines; control systems based on programmable logic controllers; communication interfaces.
Programming of TMS320F28xxx and STM32 microcontrollers. Implementation of controllers using microcontrollers.
Systems and methods for controlling electric drives. Basic issues in the design of control systems for power electronic converters. Control systems for ac/ac, dc/dc, dc/ac and ac/dc power converters in specific applications: AC voltage regulators, energy flow control methods and systems, control of power factor correction systems, control of systems with energy storages. Design issues of hierarchical control systems using master controllers. Example implementations of superior control systems. Designing industrial control systems including energy efficiency. Directions of development of industrial control systems. Repetition and consolidation of messages.
Programming of TMS320F28xxx and STM32 microcontrollers. Implementation of controllers using microcontrollers.
Lecture, laboratory exercises, project
| Outcome description | Outcome symbols | Methods of verification | The class form |
Lecture – the passing condition is to obtain a positive mark from the final written test.
Laboratory – the passing condition is to obtain positive marks from all laboratory exercises to be planned during the semester.
Project – the main condition is to get a pass is acquiring sufficient marks for all project tasks as scheduled.
Calculation of the final grade: lecture 40% + laboratory 30%+project: 30%
1. K. J. Astrom, B. Wittenmark, Computer-controlled System, Theory and Design, Third Edition, Prentice Hall, Inc., New Jersey, 1997.
2. Michael J Grimble. Industrial Control Systems. Design. JOHN WILEY & SONS, LTD, New York, 2001.
3. Skogestad S., Postlethwaite I., Multivariable feedback control, John Wiley, Chichester, UK, 1996.
4. C. Noviello, Mastering STM32, second edition, 2022. https://leanpub.com/mastering-stm32-2nd
5. K. Sozanski, Digital Signal Processing in Power Electronics Control Circuits, second edition, Springer, 2017.
4. Machowski J., et all: Power system dynamics and stability, John Wiley & Sons, 1997.
1. R. G. Lyons, Understanding Digital Signal Processing (3rd Edition), Prentice Hall; 3 edition, 2010.
2. Francesco Bullo, Jorge Cortes and Sonia Martınez, Distributed Control of Robotic Networks, Applied Mathematics Series, Princeton University Press, 2009.
3. P. S. R. Diniz, Adaptive Filtering Algorithms and Practical Implementation, Springer, 2020.
4. S. M. Kuo, B. H. Lee, W. T. Real-Time Digital Signal Processing: Fundamentals, Implementations and Applications, 3rd Edition, Wiley, 2013.
Modified by dr hab. inż. Krzysztof Sozański, prof. UZ (last modification: 02-04-2023 11:27)
