Fuzzy Control of Bioprocess

Honda, Hiroyuki

doi:10.1016/b978-0-08-088504-9.00142-2

Cited by 3 publications

(3 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In basic cultivations a constant control of these process parameters has to be implemented in the process control system or the programmable logic controller that the bioreactor systems is outfitted with. High performance cultivations sometimes require process parameters to follow a distinct trajectory that depend on other process parameters and/or time . Commonly this is implemented using fuzzy logic control.…”

Section: Process Control Management and Modelingmentioning

confidence: 99%

Bioprocessing of differentiated plant in vitro systems

Steingroewer

Bley

Georgiev

et al. 2012

Engineering in Life Sciences

122

View full text Add to dashboard Cite

Plant cells contain a wide range of interesting secondary metabolites, which are used as natural pigments and flavoring agents in foods and cosmetics as well as phyto‐pharmaceutical products. However, conventional industrial extraction from whole plants or parts of them is limited due to environmental and geographical issues. The production of secondary metabolites from in vitro cultures can be considered as alternative to classical technologies and allows a year‐round cultivation in the bioreactor under optimal conditions with constant high‐level quality and quantity. Compared to plant cell suspensions, differentiated plant in vitro systems offer the advantage that they are genetically stable. Moreover, the separation of the biomass from culture medium after fermentation is much easier. Nevertheless, several investigations in the literature described that differentiated plant in vitro systems are instable concerning the yield of the target metabolites, especially in submerged cultivations. Other major problems are associated with the challenges of cultivation conditions and bioreactor design as well as upscaling of the process. This article reviews bioreactor designs for cultivation of differentiated plant in vitro systems, secondary metabolite production in different bioreactor systems as well as aspects of process control, management, and modeling and gives perspectives for future cultivation methods.

show abstract

Section: Process Control Management and Modelingmentioning

confidence: 99%

Bioprocessing of differentiated plant in vitro systems

Steingroewer

Bley

Georgiev

et al. 2012

Engineering in Life Sciences

122

View full text Add to dashboard Cite

show abstract

“…Fuzzy control is more intuitive and mainly relies on operator's expertise and knowledge (Lee, 1990). This provides the engineer a framework for modelling the non-linearity and complexity of a food process which normally comes with insufficient or imprecise system information (Honda and Kobayashi, 2000;O'Connor et al, 2002;Odetunji and Kehinde, 2005;Robles et al, 2006;Ghoush et al, 2008). However, fuzzy control is blind to the process dynamics and its function may be impaired by system variations.…”

Section: Introductionmentioning

confidence: 97%

Grey prediction fuzzy control for pH processes in the food industry

Chung

Chen

Ting

2010

Journal of Food Engineering

View full text Add to dashboard Cite

“…Galluzzo et al [16] proposed a type-2 fuzzy logic controller for a continuous stirred tank reactor (CSTR). Fuzzy control applications in bioprocesses were also reported in [18]. In addition, the closedloop performance can be improved in bioprocesses by coupling a fuzzy logic scheme to a given controller [19]; where fuzzy logic was compared with anti-reset wind up.…”

Section: Introductionmentioning

confidence: 99%