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  • 标题:APPLICATION OF KALMAN FILTER ALGORITHMS IN A GMC CONTROL STRATEGY FOR FED-BATCH CULTIVATION PROCESS
  • 本地全文:下载
  • 作者:Alvarez, Ana ; Simutis, Rimydas
  • 期刊名称:Information Technology And Control
  • 印刷版ISSN:2335-884X
  • 出版年度:2004
  • 卷号:30
  • 期号:1
  • DOI:10.5755/j01.itc.30.1.11803
  • 语种:English
  • 出版社:Kaunas University of Technology
  • 摘要:This paper addresses the study of a Generic Model Control (GMC) approach for regulation of the specific growth rate of for fed-batch cultivation process. This approach requires all the process states to be available on line. Since direct measurement of these states is not possible, a state estimator must be implemented. In this work, the estimator is a Kalman filter that uses the oxygen uptake rate (OUR) of the microorganisms as the measurable process output. Another practical issue constitutes the time delay present in the OUR measurements, a Smith predictor compensation is proposed to overcome this problem. Several simulations were carried out to test this scheme using an experimentally identified process model.
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