Identification of hybrid model for chemical processes

• Autorzy: Oberauskas G. , Galvanauskas V.
• Języki publikacji: EN

Abstrakty

EN

In this paper, an application of the sensitivity equation approach for parameter identification of a hybrid model for industrial methanation process for ammonia production is presented. A hybrid model structure for chemical process is introduced. The computer simulation tests for hybrid model identification were performed using software tools created in Matlab (The Math Works, Inc.) program environment. The advantages and disadvantages of the identification algorithm are presented. Possible difficulties and ways of practical implementation of the applied identification method for complex hybrid models for industrial chemical processes are outlined. The hybrid model identification results are presented and discussed.

Słowa kluczowe

EN

chemical process; hybrid models; sensitivity equation technique; identification

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Systems Science
• Rocznik: 2010
• Tom: Vol. 36, no 4
• Strony: 51--57
• Opis fizyczny: Bibliogr. 9 poz., rys.

Twórcy

autor

Oberauskas G.

autor

Galvanauskas V.

• Kaunas University of Technology, Studentu g. 50-162, LT - 51368 Kaunas, Lithuania,

Bibliografia

• [1] Galvanauskas V., Georgieva P., Feyo de Azevedo S., Dynamic Optimisation of Industrial Sugar Crystallization Process based on a Hybrid (Mechanistic+ANN) Model, Proceedings of IEEE World Congress on Computational Intelligence, IJCNN, 2006, Vol. 6. 5035-5042.
• [2] Galvanauskas V., Simutis R., Lübbert A., Hybrid process models for process optimisation, monitoring and control, Bioprocess and Biosystems Engineering, 2004, 26(6), 393-400.
• [3] Galvanauskas V., Simutis R., Levisauskas D., Application of evolutionary computing for hybrid model based optimization of biochemical processes, WSEAS Transactions on Information Science and Applications, 2005, Issue 5, Vol. 2, 507-511.
• [4] Galvanauskas V., Simutis R., Oberauskas G., Lübbert A., Identification of hybrid models for biotechnological processes, Proceedings of the 2th International Conference on Electrical and Control Technologies, 2007, 68-73.
• [5] Ljung L., System identification: Theory for the users, Englewood Cliffs, Prentice Hall, 1991.
• [6] Levisauskas D., Galvanauskas V., Henrich S., Wilhelm K., Volk N., Lübbert A., Model-Based Optimization of Viral Caps Protein Production in Fed-Batch Culture of Recombinant Escherichia coli, Bioprocess and Biosystems Engineering, 2004, 25(4), 255-262.
• [7] Oberauskas G, Galvanauskas V., Modelling of ammonia productions process, Proceedings of the 4th International Conference on Electrical and Control Technologies, 2009, 115 120.
• [8] Perry R.H., Green D.W., Moloney J.O., Chemical Engineers ' Handbook, 7th ed., McGraw-Hill, 1997.
• [9] Schubert J., Simutis R., Dors M., Havlik I., Lübbert A., Bioprocess optimization and control: Application of hybrid modelling, J. Bio-Techn., 1994, 35, 51-68.