Project number:
VEGA 1/0297/22
Title of the project:
Controller design methods for low-level carbon footprint process automation
Grant scheme:
VEGA
Project type:
VEGA Research Projects
Project duration (start):
01.01.2022
Project duration (end):
31.12.2025
Principal investigator:
Juraj Oravec
Deputy investigator:
Radoslav Paulen
Investigators:
Peter Bakaráč, Lenka Galčíková, Michaela Horváthová, Martin Kalúz, Roman Kohút, Alajos Mészáros, Richard Valo, Anna Vasičkaninová

Period: 1.1.2022 - 31.12.2025
Project Code: VEGA 1/0297/22

Principal investigator: doc. Ing. Juraj Oravec, PhD.
Principal investigator deputy: doc. Ing. Radoslav Paulen, PhD.
Scientific co-workers: Ing. Peter Bakaráč, Ing. Michaela Horváthová, Ing. Martin Kalúz, Ing. Roman Kohút, Prof. Ing. Alajos Mészáros, PhD., Dr.h.c., Ing. Richard Valo, Ing. Anna Vasičkaninová, Ing. Diana Dzurková

Project summary: The project aims to develop advanced controller design methods for low-level carbon footprint process automation. Decreased energy consumption is achieved by implementing the advanced methods of model predictive control. These methods are based on the robust control approach, parallel computing, machine learning, and economic criteria. The model predictive control methods will be designed considering the requirements of the chemical, biochemical, pharmaceutical, and food industries. However, the implementation range will not be limited just to these fields of industry. The theoretical results of the project will be implemented and experimentally analyzed using laboratory devices. The practical aspects of implementation on standard industrial hardware will be considered to design the advanced control methods for low-level carbon footprint process automation.

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