Control of Energy Intensive Processes with Uncertainties in Chemical Technologies and Biotechnologies

Title: Control of Energy Intensive Processes with Uncertainties in Chemical Technologies and Biotechnologies

Number: VEGA 1/0112/16

Principal investigator: M. Bakošová

Scientific co-workers: M. Kvasnica, A. Mészáros, A. Vasičkaninová, Ľ. Čirka, M. Kalúz, R. Valo, j. Oravec, S. Blažek, J. Drgoňa, J. Holaza, B. Takács, D. Ingole, A. Sharma

Period: 2016-2019

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

2017

  1. Drgoňa, J. – Takáč, Z. – Horňák, M. – Valo, R. – Kvasnica, M.: 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.
  2. Oravec, J. – Bakošová, M. – Artzová, P.: 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.
  3. Oravec, J. – Bakošová, M. – Hanulová, L. – Horváthová, M.: 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. Oravec, J. – Kvasnica, M. – Bakošová, M.: 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.
  5. Oravec, J. – Pakšiová, D. – Bakošová, M. – Fikar, M.: Soft-Constrained Alternative Robust MPC: Experimental Study (in ). In Preprints of the 20th IFAC World Congress, Toulouse, France, vol. 20, pp. 11877–11882, 2017.
  6. Vasičkaninová, A. – Bakošová, M. – Mészáros, A.: Control of a Biochemical Process Using Fuzzy Approach (in ). 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.

2016

  1. Oravec, J. – Bakošová, M.: Soft Constraints in the Robust MPC Design via LMIs. In American Control Conference, Boston, Massachusetts, USA, pp. 3588–3593, 2016.
  2. Oravec, J. – Bakošová, M. – Mészáros, A.: Robust Model Predictive Control of Heat Exchangers in Series. Chemical Engineering Transactions, pp. 253–258, 2016.
  3. Oravec, J. – Bakošová, M. – Mészáros, A. – Míková, N.: Experimental Investigation of Alternative Robust Model Predictive Control of a Heat Exchanger. Applied Thermal Engineering, pp. 774–782, 2016.
  4. Oravec, J. – Kalúz, M. – Bakaráč, P. – Bakošová, M.: 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. Picard, D. – Drgoňa, J. – Helsen, L. – Kvasnica, M.: 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. Vasičkaninová, A. – Bakošová, M.: Robust Controller Design for a Heat Exchanger using H2, H∞, H2/H∞, and μ-Synthesis Approaches. Acta Chimica Slovaca, pp. 184–193, 2016.
  7. Vasičkaninová, A. – Bakošová, M. – Čirka, Ľ. – Kalúz, M.: Robust Controller Design for a Heat Exchanger. Chemical Engineering Transactions, pp. 247–252, 2016.
  8. Vasičkaninová, A. – Bakošová, M. – Mészáros, A.: 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.
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