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A knowledge based system using fuzzy inference for supervisory control of bioprocesses

von Numers, C. ; Nakajima, M. ; Siimes, T. ; [et al.]

Amsterdam : Elsevier

Journal of Biotechnology 34 (1994), S. 109-118

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ISSN: 0168-1656

Keywords: Bioprocess control ; Fuzzy inference ; Knowledge based system ; Lactic acid cultivation ; [abr] ; intersection ; [abr] ; union ; [abr] A, B; fuzzy sets ; [abr] NB; negative big ; [abr] NM; negative medium ; [abr] NS; negative small ; [abr] P; product concentration (g l^-^1) ; [abr] PB; positive big ; [abr] PM; positive medium ; [abr] PS; positive small ; [abr] S; substrate concentration (g l^-^1) ; [abr] Text in italics refers to Smalltalk code ; [abr] U; universe of discourse ; [abr] X; biomass dry weight (g l^-^1) ; [abr] ZE; zero ; [abr] u"i; an element of U ; [abr] μ"A(u"i); membership function of fuzzy set A ; [abr] μ; specific growth rate (s^-^1) ; [abr] ν; specific substrate consumption rate (g s^-^1) ; [abr] π; specific product formation rate (g s^-^1) ; [abr] σ; standard deviation

Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002

Topics: Process Engineering, Biotechnology, Nutrition Technology

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1016/0168-1656(94)90081-7

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An on-line advisory control system for the lactic acid fermentation process (1994)

Nakajima, M. ; von Numers, C. ; Yada, H. ; [et al.]

Springer

Applied microbiology and biotechnology 42 (1994), S. 204-211

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ISSN: 1432-0614

Source: Springer Online Journal Archives 1860-2000

Topics: Biology , Process Engineering, Biotechnology, Nutrition Technology

Notes: Abstract A fuzzy expert system was developed for on-line diagnosing and controlling of bioprocesses. The system was constructed in object-oriented Smalltalk/V for diagnosing and controlling of bioprocesses. Lactic acid fermentation with an industrial strain of Lactobacillus casei was chosen as the model system. The performance of the fuzzy expert system and the knowledge base utilizing experts’ knowledge and several facts obtained from the experiments were successfully validated with on-line fermentations. The fuzzy expert system could diagnose a fault on-line and give reasonable advice to the process operator. In order to achieve the diagnosing faculty, a database, a knowledge base, and both backward and forward chaining procedures were implemented employing the object-oriented programming environment. A defuzzifier was implemented in the system to achieve on-line control. In order to realize a decision-making system with a human operator and a fuzzy expert system, a new control strategy named Advice was also introduced. Several cultivations were carried out in order to collect knowledge on the effects concerned with inoculum properties to the process and to construct a database including standard time-course profiles. The performance of the fuzzy expert control system was successfully tested with on-line experiments.