Control Implementation in Bioprocess System: A Review

Bioprocess control consists of establishing a strategy for the management of the biocatalyst environment. Bioprocesses include several different units in which a near optimal environment is desired for microorganisms to grow, multiply, and produce a desired product. However, bioprocess control provides special challenges due to significant process variability and the complexity of biological systems. In this paper, various control strategies that have been implemented in bioprocess reactor for the last twelve years from 1995 to 2006 are reviewed. Four major control schemes; i.e. model predictive control, neural network based control, adaptive control and fuzzy control are mainly discussed in this work and their effectiveness control schemes are also highlighted.

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