期刊
JOURNAL OF PROCESS CONTROL
卷 19, 期 7, 页码 1162-1173出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jprocont.2009.03.006
关键词
Fed-batch fermentation process; Penicillin production; Model predictive control; Nonlinear model; LoLiMoT
Bioprocesses are involved in producing different pharmaceutical products. Complicated dynamics, nonlinearity and non-stationarity make controlling them a very delicate task. The main control goal is to get a pure product with a high concentration, which commonly is achieved by regulating temperature or pH at certain levels. This paper discusses model predictive control (MPC) based on a detailed unstructured model for penicillin production in a fed-batch fermentor. The novel approach used here is to use the inverse of penicillin concentration as a cost function instead of a common quadratic regulating one in an optimization block. The result of applying the obtained controller has been displayed and compared with the results of an auto-tuned PID controller used in previous works. Moreover, to avoid high computational cost, the nonlinear model is substituted with neuro-fuzzy piecewise linear models obtained from a method called locally linear model tree (LoLiMoT). (C) 2009 Elsevier Ltd. All rights reserved.
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