A new computer algorithm approach to identification of continuous-time batch bioreactor model parameters

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ERTUNÇ S., AKAY B., HAPOĞLU H., Alpbaz M.

5th International Conference on Computational Science - ICCS 2005, Atlanta, GA, Amerika Birleşik Devletleri, 22 - 25 Mayıs 2005, cilt.3514, ss.147-154 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 3514
  • Doi Numarası: 10.1007/11428831_19
  • Basıldığı Şehir: Atlanta, GA
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.147-154
  • Ankara Üniversitesi Adresli: Evet

Özet

The performance of a continuous-time Recursive Least Squares (CRLS) and a discrete-time Recursive Least Squares (DRLS) algorithms are examined for the growth medium temperature control of a cooling batch bioreactor in which Saccharomyces cerevisiae growth at aerobic condition by using Continuous-time Generalised Predictive Control (CGPC) algorithm. MATLAB programme was utilized for recursive parameter identification algorithms (CRLS and DRLS). The success or otherwise of these algorithms are estimated using parameter norm criterion for the various order of models and several input signals. There is a considerable improvement of identification algorithms with the reduced order of models. It has been shown that the performance of a DRLS algorithm is as successful as the other recursive parameter identification of a continuous-time system model. © Springer-Verlag Berlin Heidelberg 2005.