Preview

Proceedings of the Voronezh State University of Engineering Technologies

Advanced search

Optimal control of biomass from the selection apparatus

https://doi.org/10.20914/2310-1202-2017-3-68-74

Abstract

The variant of solving the problem of optimal control of biomass selection from the apparatus using the Pontryagin maximum principle is presented in the article. The maximum productivity of the device as an optimality criterion was chosen. On a finite-dimensional space the Pontryagin function, the Hamiltonian function, and the end function were defined. To describe the dynamics of the development of the yeast population, the Ferhulst-Gause equation was used. It is proved that optimal control (in the chosen criterion) is possible with the found ratios of the coefficient of natural growth ε and the coefficient β taking into account the intraspecies competition of microorganisms. To determine the optimal concentration of microorganisms and the biomass selection value, it is necessary to determine the numerical values of the coefficients of the model ε and β during the cultivation process. The method for determining the model coefficients and the optimal biomass selection from the apparatus was presented. The algorithm and the system for optimal control of the selection of biomass from the apparatus were developed. They differ in that here the found theoretical relationships of the named coefficients are used. To study the optimal control system, a computer experiment was carried out using experimental data on the hourly accumulation of microorganisms taken at the Voronezh yeast plant. The data were obtained for a 13 hour culture process with selection of the culture medium after 6 hours. The selection is conducted in such a way that the accumulation (yeast concentration) of X during sampling remains unchanged with a constant culture medium selection. That is, the volume of biomass equal to the volume of the medium supplied with the feeding is taken. The graphs of the hourly change in yeast concentration and the dynamics of selection were obtained. The results analysis shows that the use of such a system in the process of controlling yeast production makes it possible to shorten the cultivation time by 1 hour.

About the Authors

Yu. E. Kozhevnikov
Voronezh state university of engineering technologies
Russian Federation


N. V. Sukhanova
Voronezh state university of engineering technologies
Russian Federation


References

1. 1 Anufriev V.V., Kozhevnikov Y.E., Sukhanova N.V. One solution to the problem of the kinetics of microbial growth. Problemyi himii i himicheskoy tehnologii: tez.dokl. 2 oy regionalnoy nauchnoy konferentsii [Problems of chemistry and chemical technology: abstracts of the 2nd regional scientific conference]. Tambov, 1994. pp. 126–127.(in Russian).

2. 2 Galeev E.M., Zelikin M.I., Konyagin S.V. Optimalnoe upravlenie [Optimal control] Moscow, Publishing house MCCME (Moscow center for continuous mathematical education), 2008. 320 p. (in Russian).

3. 3 Pokorny J.V. Optimalnyie zadachi [Optimal task]. Moscow, Publishing house Regular and chaotic dynamics, 2008.160 p.(in Russian).

4. 4 Sukharev A.G., Timokhov A.V., Fedorov V.V. Kurs metodov optimizatsii [Course of optimization methods]. Moscow, Publishing house Fizmatlit, 2008. 368 p. (in Russian).

5. 5 Grognard F., Akhmetzhanov A. R., Bernard O. Optimal strategies for biomass productivity maximization in a photobioreactor using natural light. Automatica. 2014. vol. 50. no. 2. pp. 359-368.

6. 6 Liu C., Gong Z. Optimal control of switched autonomous systems. Optimal Control of Switched Systems Arising in Fermentation Processes. Springer Berlin Heidelberg, 2014. pp. 77-87.

7. 7 Basset N. et al. Integrating the selection of PHA storing biomass and nitrogen removal via nitrite in the main wastewater treatment line. Bioresource technology. 2016. vol. 200. pp. 820-829.

8. 8 Aloisio J. M., Tuininga A. R., Lewis J. D. Crop species selection effects on stormwater runoff and edible biomass in an agricultural green roof microcosm. Ecological Engineering. 2016. vol. 88. pp. 20-27.

9. 9 Casler M. D., Vogel K. P. Selection for biomass yield in upland, lowland, and hybrid switchgrass. Crop science. 2014. vol. 54. no. 2. pp. 626-636.

10. 10 Sukhanova N. V. Optimal control of the process of growing microorganisms in a competitive interaction between the two populations. Sistemnyj analiz i modelirovanie protsessov upravleniya kachestvom v innovatsionnom razvitii agropromyshlennogo kompleksa: materialy II mezhdunarodnoj nauchno-prakticheskoj konferentsii. [System analysis and simulation of quality management processes in innovative development of agro industrial complex: materials of II international scientific-practical conference]. Voronezh state university of engineering technologies. Voronezh, 2016. pp. 76-78. (in Russian).


Review

For citations:


Kozhevnikov Yu.E., Sukhanova N.V. Optimal control of biomass from the selection apparatus. Proceedings of the Voronezh State University of Engineering Technologies. 2017;79(3):68-74. (In Russ.) https://doi.org/10.20914/2310-1202-2017-3-68-74

Views: 564


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2226-910X (Print)
ISSN 2310-1202 (Online)