Advertisement

Applied Biochemistry and Biotechnology

, Volume 172, Issue 8, pp 3761–3775 | Cite as

Self-Tuning GMV Control of Glucose Concentration in Fed-Batch Baker’s Yeast Production

  • Zeynep Yilmazer HititEmail author
  • Havva Boyacioglu
  • Baran Ozyurt
  • Suna Ertunc
  • Hale Hapoglu
  • Bulent Akay
Article

Abstract

A detailed system identification procedure and self-tuning generalized minimum variance (STGMV) control of glucose concentration during the aerobic fed-batch yeast growth were realized. In order to determine the best values of the forgetting factor (λ), initial value of the covariance matrix (α), and order of the Auto-Regressive Moving Average with eXogenous (ARMAX) model (n a, n b), transient response data obtained from the real process wereutilized. Glucose flow rate was adjusted according to the STGMV control algorithm coded in Visual Basic in an online computer connected to the system. Conventional PID algorithm was also implemented for the control of the glucose concentration in aerobic fed-batch yeast cultivation. Controller performances were examined by evaluating the integrals of squared errors (ISEs) at constant and random set point profiles. Also, batch cultivation was performed, and microorganism concentration at the end of the batch run was compared with the fed-batch cultivation case. From the system identification step, the best parameter estimation was accomplished with the values λ = 0.9, α = 1,000 and n a = 3, n b = 2. Theoretical control studies show that the STGMV control system was successful at both constant and random glucose concentration set profiles. In addition, random effects given to the set point, STGMV control algorithm were performed successfully in experimental study.

Keywords

Self-tuning generalized minimum variance control (STGMV) Bioreactor Saccharomyces cerevisiae Baker’s yeast System identification Glucose concentration control 

References

  1. 1.
    Akesson, M., Hagander, P., & Axelsson, J. P. (2001). Probing control of fed-batch cultivations: analysis and tuning. Control Engineering Practice, 9, 709–723.CrossRefGoogle Scholar
  2. 2.
    Honda, H., Lenas, P., Watanable, H., Kitade, T., & Kobayashi, T. (1998). Human antithrombin III variant production from recombinant BHK cells in a fed-batch culture with on-line control of glucose and glutamine concentrations. Journal of Fermentation and Bioengineering, 85(5), 532–535.CrossRefGoogle Scholar
  3. 3.
    Arrizon, J., & Gschaedler, A. (2002). Increasing fermentation efficiency at high sugar concentrations by supplementing an additional source of nitrogen during the exponential phase of tequila fermentation process. Canadian Journal of Microbiology, 48, 965–970.CrossRefGoogle Scholar
  4. 4.
    Ronen, M., Shabtai, Y., & Guterman, H. (2002). Optimization of feeding profile for a fed-batch bioreactor by an evaluationary algorithm. Journal of Biotechnology, 97, 253–263.CrossRefGoogle Scholar
  5. 5.
    Ringbom, K., Rothberg, A., & Saxen, R. (1996). Model-based automation of baker’s yeast production. Journal of Biotechnology, 51, 73–82.CrossRefGoogle Scholar
  6. 6.
    Henes, B., & Sonnleitner, B. (2007). Controlled fed-batch by tracking the maximal culture capacity. Journal of Biotechnology, 132, 118–126.CrossRefGoogle Scholar
  7. 7.
    Klockow, C., Hüll, D., & Hitzmann, B. (2008). Model based substrate set point control of yeast cultivation processes based on FIA measurements. Analytica Chimica Acta, 623, 30–37.CrossRefGoogle Scholar
  8. 8.
    Yüzgeç, U., Türker, M., & Hocalar, A. (2009). On-line evolutionary optimization of an industrial fed-batch yeast fermentation process. ISA Transactions, 79–92.Google Scholar
  9. 9.
    Shuler, M. L., & Kargi, F. (2002). Biyoproses Engineering Basic Concepts (2nd ed.). New Jersey: Prentice Hall.Google Scholar
  10. 10.
    Clarke, D. W., & Gawthrop, P. J. (1975). Self Tuning Controller. Proc. IEE, 122(9), 929–934.Google Scholar
  11. 11.
    Williams, D., Yousefpour, P., & Wellington, E. M. H. (1986). On-line adaptive control of a fed-batch fermentation of Saccharomyces cerevisiae. Biotechnology and Bioengineering, 28, 631–645.CrossRefGoogle Scholar
  12. 12.
    Zigova, J. (2000). Effect of RQ and pressed conditions on biomass galactocyl transferase production during fed-batch culture of S. Cerevisiae BT150. Journal of Biotechnology, 80, 55–62.CrossRefGoogle Scholar
  13. 13.
    Hisbullah, Hussain, M. A. & Ramachandran, K. B. (2003) Design of a fuzzy logic controller for regulating substrate feed to fed-batch fermentation. Institution of Chemical Engineers Trans IChemE, Vol 1, Part C.Google Scholar
  14. 14.
    Karakuzu, C., Çakır, B., Öztürk, S., & Türker M. (2002) Yarı kesikli ekmek mayası fermantasyonunda bulanık mantık tabanlı hammadde besleme kontrolü, ELECO’2002 Elektrik-Elektronik-Bilgisayar Mühendisliği Sempozyumu Bildiriler Kitabı Elektronik Cildi, s. 305-309, 18–22 Aralık 2002, TÜBİTAK/Bursa.Google Scholar
  15. 15.
    Peroni, C. V., Kaisare, N. S., & Lee, J. H. (2005) Optimal control of a fed-batch bioreactor using simulation-based approximate dynamic programming. Transactions on Control Systems Technology, Vol. 13, No. 5.Google Scholar
  16. 16.
    Zhang, J. (2005). A neural network-based strategy for the integrated batch-to-batch control and within-batch control of batch processes. Transactions of the Institute of Measurement and Control, 27(5), 391–410.CrossRefGoogle Scholar
  17. 17.
    Hocalar, A., & Türker, M. (2010). Model based control of minimal overflow metabolite in technical scale fed-batch yeast fermentation. Biochemical Engineering Journal, 54, 64–71.CrossRefGoogle Scholar
  18. 18.
    Aström, K. J., & Wittenmark, B. (1973). On self-tuning regulators. Automatica, 9, 185–199.CrossRefGoogle Scholar
  19. 19.
    Wellstead, P. E., & Zarrop, M. B. (1991). Self-tuning system control and signal processing. Great Britain: John Wiley and Sons.Google Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Zeynep Yilmazer Hitit
    • 1
    Email author
  • Havva Boyacioglu
    • 1
  • Baran Ozyurt
    • 1
  • Suna Ertunc
    • 1
  • Hale Hapoglu
    • 1
  • Bulent Akay
    • 1
  1. 1.Faculty of Engineering, Department of Chemical EngineeringAnkara UniversityAnkaraTurkey

Personalised recommendations