Project number:
VEGA 1/0112/16
Title of the project:
Control of Energy Intensive Processes with Uncertainties in Chemical Technologies and Biotechnologies
Project type:
VEGA Research Projects
Project duration (start):
01.01.2016
Project duration (end):
31.12.2019
Principal investigator:
Monika Bakošová
Investigators:
Slavomír Blažek, Ľuboš Čirka, Ján Drgoňa, Juraj Holaza, Deepak Ingole, Martin Kalúz, Michal Kvasnica, Alajos Mészáros, Juraj Oravec, Ayush Sharma, Bálint Takács, Richard Valo, Anna Vasičkaninová

Key words: Uncertainty, modelling, robust predictive control, fuzzy system, process control, energy saving

Project summary

The research project deals with the development of advanced control methods for systems with uncertainties and focuses on energyintensive processes in the chemical and biotechnologies such as distillation columns, chemical reactors, biochemical reactors, heat exchangers and other processes. The core of the project consists of development of robust predictive control and fuzzy robust control approaches for systems with uncertainties to ensure the control of processes leading to energy savings compared with traditional approaches. Computational effectiveness and usability in practice will be taken into account in the design of control algorithms for systems with uncertainties. Designed algorithms, controllers and control structures will be tested by simulations and laboratory experiments and will be compared with classical control approaches from the viewpoint of energy consumption during the control.

Scientific goals

The main objective is to design efficient control structures and algorithms that solve problems related to the presence of uncertainty and of boundaries on manipulated and controlled variables in energy demanding processes representing nodes in chemical, biochemical and food production. Implementation of the control structures and algorithms will result in energy savings in comparison with conventional approaches.
Milestones:
- Design of mathematical models including uncertainties of different types of chemical and biochemical processes;
- Design of fuzzy and neurofuzzy models for processes with uncertainties;
- Extension of the toolbox of mathematical models of chemical and biochemical processes;
- Simulation analysis of processes in terms of their energy consumption;
- Development of robust model predictive control (RMPC) for systems with parametric uncertainties and various boundaries on variables, which guarantees robust stability and required quality of feedback control, and which also reduces conservativeness and the computational burden;
- Transformation of the RMPC design in the form of linear matrix inequalities (LMIs);
- Design of RMPC algorithms reducing computational complexity, and selection of appropriate methods and software tools to solve them,
- Development of RMPC methods using fuzzy and neurofuzzy models of controlled processes with uncertainties,
- Development of a software package for the RMPC design,
- Elaboration of alternative RMPC methods for chemical and biotechnological processes with a focus on the control of energy demanding processes (heat exchangers, distillation columns, chemical and biochemical reactors, crystallizers),
- Comparison of the proposed RMPC approaches with classical approaches based on simulation results.

 

Publications

2020

  1. A. Vasičkaninová – M. Bakošová – J. Oravec: Fuzzy control of heat exchangers in series using complex control structures, In Advanced Analytic and Control Techniques for Thermal Systems with Heat Exchangers, Editor(s): Libor Pekař, Academic Press Elsevier, pp. 287–306, 2020.

2019

  1. P. BakaráčM. Kvasnica: Approximate explicit robust model predictive control of a CSTR with fast reactions. Chemical papers, no. 3, vol. 73, pp. 611–618, 2019.
  2. M. Bakošová – J. Oravec – A. Vasičkaninová – A. Mészáros – P. Valiauga: Advanced Control of a Biochemical Reactor for Yeast Fermentation. Chemical Engineering Transactions, vol. 81, pp. 769–774, 2019.
  3. M. Bakošová – R. Trautenberger – J. Derco – J. Kavor – P. Valiauga – J. Oravec – A. Vasičkaninová: Modelling and Control of a Carrousel Type Biochemical Reactor. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, 2019.
  4. Ľ. ČirkaM. KalúzD. Dzurková – R. Valo: Educational Device Flexy2 in the Teaching of Experimental Identication. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 239–244, 2019.
  5. L. GalčíkováJ. Oravec – M. Bakošová: Advanced Robust MPC Design for Plate Heat Exchanger. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, 2019.
  6. M. HorváthováJ. Oravec – M. Bakošová – M. Kvasnica: Robust Convex-lifting-based Control Using Approximated Feedback Control Law. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, 2019.
  7. M. KalúzM. KlaučoĽ. ČirkaM. Fikar: Flexy2: A Portable Laboratory Device for Control Engineering Education. In 12th IFAC Symposium Advances in Control Education, pp. 159–164, 2019.
  8. J. Kavor – M. Bakošová: Modelling and control of a cascade of biochemical reactors for removal of ammonium compounds from waste water (in Slovak). Editor(s): Reháková, M., Oravec, J., In Chémia a technológie pre život, Slovenská chemická knižnica, Radlinského 9, Bratislava, pp. 401–402, 2019.
  9. D. Križan – M. Bakošová: Modelling and control of a cascade of biochemical reactors for removal of organic pollution from waste water (in Slovak). Editor(s): Reháková, M., Oravec, J., In Chémia a technológie pre život, Slovenská chemická knižnica, Radlinského 9, Bratislava, pp. 403–404, 2019.
  10. J. Oravec – M. Bakošová: MUP (in Slovak). 2019.
  11. J. Oravec – M. Bakošová: Collection of Robust Control Examples (in Slovak), Vydavateľstvo FCHPT, FCHPT STU, Radlinského 9, 812 37 Bratislava, 2019.
  12. J. Oravec – M. Bakošová – L. Galčíková – M. Slávik – M. HorváthováA. Mészáros: Soft-constrained robust model predictive control of a plate heat exchanger: Experimental analysis. Energy, vol. 180, pp. 303–314, 2019.
  13. J. OravecJ. HolazaM. Horváthová – N. A. Nguyen – M. Kvasnica – M. Bakošová: Convex-lifting-based robust control design using the tunable robust invariant sets. European Journal of Control, vol. 49, pp. 44–52, 2019.
  14. A. Vasičkaninová – M. Bakošová – J. OravecA. Mészáros: Model Predictive Control of a Tubular Chemical Reactor. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 228–233, 2019.
  15. A. Vasičkaninová – M. Bakošová – J. OravecA. Mészáros: Control of Heat Exchangers Using Complex Control Structures with Neural Network Predictive Controllers. Chemical Engineering Transactions, vol. 81, pp. 361–366, 2019.
  16. K. Wang – Y. Jiang – J. Oravec – M. Villanueva – B. Houska: Parallel Explicit Tube Model Predictive Control. In 58th IEEE Conference on Decision and Control, Nice, France, pp. 7696–7701, 2019.

2018

  1. P. BakaráčM. Kvasnica: Fast nonlinear model predictive control of a chemical reactor: a random shooting approach. Acta Chimica Slovaca, no. 2, vol. 11, pp. 175–181, 2018.
  2. J. Drgoňa – D. Picard – M. Kvasnica – L. Helsen: Approximate model predictive building control via machine learning. Applied Energy, vol. 218, pp. 199–216, 2018.
  3. A. Mészáros – L. Horváth: Contextual Modeling of Engineering Structures Using Organized Content. In 16th International Symposium of Intelligent Systems and Informatics, vol. 16, pp. 105–109, 2018.
  4. I. Mutlu – J. Oravec – F. Schrödel – R. Vosswinkel – M. Bakošová – M. T. Söylemez: Robust Model Predictive Control Based on Stabilizing Parameter Space Calculus. In European Control Conference 2018, Limassol, Cyprus, pp. 206–212, 2018.
  5. J. Oravec – M. Bakošová – L. Hanulová: Experimental Investigation of Robust MPC Design with Integral Action for a Continuous Stirred Tank Reactor. In 57th IEEE Conference on Decision and Control, Miami, Florida, USA, vol. 57, pp. 2611–2616, 2018.
  6. J. Oravec – M. Bakošová – L. Hanulová – A. Mészáros: Multivariable Robust Model Predictive Control of a Laboratory Chemical Reactor. Editor(s): Anton Friedl, Jiří J. Klemeš, Stefan Radl, Petar S. Varbanov, Thomas Wallek, In 28th European Symposium on Computer Aided Process Engineering, Elsevier, vol. 28, pp. 961–966, 2018.
  7. J. Oravec – M. Bakošová – M. Trafczynski – A. Vasičkaninová – A. Mészáros – M. Markowski: Robust model predictive control and PID control of shell-and-tube heat exchangers. Energy, vol. 159, pp. 1–10, 2018.
  8. J. Oravec – M. Bakošová – A. Vasičkaninová – A. Mészáros: Robust Model Predictive Control of a Plate Heat Exchanger. Chemical Engineering Transactions, vol. 81, pp. 25–30, 2018.
  9. A. Vasičkaninová – M. Bakošová – Ľ. ČirkaM. KalúzJ. Oravec: Robust Controller Design for a Laboratory Heat Exchanger. Applied Thermal Engineering, vol. 128, pp. 1297–1309, 2018.
  10. A. Vasičkaninová – M. Bakošová – J. OravecA. Mészáros: Gain - Scheduled Control of Counter - Current Shell - and - Tube Heat Exchangers in Series. Chemical Engineering Transactions, vol. 81, pp. 1399–1404, 2018.

2017

  1. M. Bakošová – J. Oravec – A. Vasičkaninová – A. Mészáros: Neural-Network-Based and Robust Model-Based Predictive Control of a Tubular Heat Exchanger. Chemical Engineering Transactions, vol. 61, pp. 301–306, 2017.
  2. J. Drgoňa – Z. Takáč – M. Horňák – R. Valo – M. Kvasnica: Fuzzy Control of a Laboratory Binary Distillation Column. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 120–125, 2017.
  3. J. Oravec – M. Bakošová – L. Hanulová – M. Horváthová: Design of Robust MPC with Integral Action for a Laboratory Continuous Stirred-Tank Reactor. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 459–464, 2017.
  4. J. Oravec – M. Bakošová – D. Pakšiová – N. Mikušová – K. Batárová: Advanced Robust MPC Design of a Heat Exchanger: Modeling and Experiments. Editor(s): Antonio Espuña, Moisès Graells, Luis Puigjaner, In 27th European Symposium on Computer Aided Process Engineering, Elsevier, Barcelona, Spain, pp. 1585–1590, 2017.
  5. J. Oravec – M. Bakošová – P. Valiauga: Advanced Process Control Design for a Distillation Column Using UniSim Design. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 303–308, 2017.
  6. J. OravecM. Kvasnica – M. Bakošová: Quasi-Non-Symmetric Input and Output Constraints in LMI-based Robust MPC. In Preprints of the 20th IFAC World Congress, Toulouse, France, vol. 20, pp. 11829–11834, 2017.
  7. J. Oravec – D. Pakšiová – M. Bakošová – M. Fikar: Soft-Constrained Alternative Robust MPC: Experimental Study. In Preprints of the 20th IFAC World Congress, Toulouse, France, vol. 20, pp. 11877–11882, 2017.
  8. J. Oravec – M. Trafczynski – M. Bakošová – M. Markowski – A. Mészáros – K. Urbaniec: Robust Model Predictive Control of Heat Exchanger Network in the Presence of Fouling. Chemical Engineering Transactions, vol. 61, pp. 334–342, 2017.
  9. A. Vasičkaninová – M. Bakošová – A. Mészáros: Control of a Biochemical Process Using Fuzzy Approach. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 173–178, 2017.
  10. A. Vasičkaninová – M. Bakošová – J. OravecA. Mészáros: Neural Network Predictive Controller Design for Counter-Current Tubular Heat Exchangers in Series. Chemical Engineering Transactions, vol. 61, pp. 121-126, 2017.

2016

  1. J. Oravec – M. Bakošová: Soft Constraints in the Robust MPC Design via LMIs. In American Control Conference, Boston, Massachusetts, USA, pp. 3588–3593, 2016.
  2. J. Oravec – M. Bakošová – A. Mészáros: Robust Model Predictive Control of Heat Exchangers in Series. Chemical Engineering Transactions, vol. 52, pp. 253–258, 2016.
  3. J. Oravec – M. Bakošová – A. Mészáros – N. Míková: Experimental Investigation of Alternative Robust Model Predictive Control of a Heat Exchanger. Applied Thermal Engineering, vol. 105, pp. 774–782, 2016.
  4. J. OravecM. KalúzP. Bakaráč – M. Bakošová: Improvements of Educational Process of Automation and Optimization Using 2D Plotter. In Preprints of the 11th IFAC Symposium on Advances in Control Education, vol. 11, pp. 16–21, 2016.
  5. D. Picard – J. Drgoňa – L. Helsen – M. Kvasnica: Impact of the controller model complexity on MPC performance evaluation for building climate control. In The European Conference on Computational Optimization, Leuven, Belgium, vol. 4, 2016.
  6. A. Vasičkaninová – M. Bakošová: Robust Controller Design for a Heat Exchanger using H2, H∞, H2/H∞, and μ-Synthesis Approaches. Acta Chimica Slovaca, no. 2, vol. 10, pp. 184–193, 2016.
  7. A. Vasičkaninová – M. Bakošová – Ľ. ČirkaM. Kalúz: Robust Controller Design for a Heat Exchanger. Chemical Engineering Transactions, vol. 52, pp. 247–252, 2016.
  8. A. Vasičkaninová – M. Bakošová – A. Mészáros: Fuzzy Control of a Distillation Column. Editor(s): Zdravko Kravanja, Miloš Bogataj, In 26th European Symposium on Computer Aided Process Engineering, Elsevier B.V, Portorož, Slovenia, no. 38, vol. 26, pp. 1299–1304, 2016.

Investigators

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