Generalized minimum variance control of growth medium temperature of Baker's yeast production

Ertunc S., Akay B., Bursali N., Hapoglu H., Alpbaz M.

FOOD AND BIOPRODUCTS PROCESSING, vol.81, no.C4, pp.327-335, 2003 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 81 Issue: C4
  • Publication Date: 2003
  • Doi Number: 10.1205/096030803322756411
  • Journal Name: FOOD AND BIOPRODUCTS PROCESSING
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.327-335
  • Keywords: bioreactor, parameter estimation, modelling, generalized minimum variance, SELF-TUNING CONTROLLER, SACCHAROMYCES-CEREVISIAE, REGULATORS
  • Ankara University Affiliated: Yes

Abstract

The control of optimum growth medium temperature of a batch bioreactor in which S. cerevisiae was grown under aerobic conditions has been studied. The generalized minimum variance (GMV) algorithm was applied for on-line computer control. A controlled autoregressive moving average model relating the bioreactor temperature and heat input was used to show the dynamic behaviour of the system. The heat input to the bioreactor was chosen as a manipulated variable. A pseudo-random binary sequence signal was applied to the system and the model parameters were determined using the Bierman algorithm. More suitable values of the GMV controller parameters were determined using a total simulation program. These control parameters were used in experimental and theoretical work under several disturbances.