Fuzzy control of dissolved oxygen, pH and temperature of bubble column bioreactor for Candida utilis biomass production

An automatic control system by dissolved oxygen (DO) fuzzy logic, pH and temperature in a bubble column bioreactor (BCB) for Candida utilis CECT 10704 biomass production was implemented. Their performance was compared with the classical proportional control. A data acquisition card for the control...

Full description

Bibliographic Details
Main Authors: Hubert Arteaga Miñano, Víctor Vásquez Villalobos
Format: Article
Language:English
Published: Universidad Nacional de Trujillo 2012-06-01
Series:Scientia Agropecuaria
Subjects:
Online Access:http://www.revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/78
id doaj-b1d353dad17248219e3b05e2b6a1535e
record_format Article
spelling doaj-b1d353dad17248219e3b05e2b6a1535e2020-11-25T00:07:04ZengUniversidad Nacional de TrujilloScientia Agropecuaria2077-99172306-67412012-06-013213914810.17268/sci.agropecu.2012.02.05Fuzzy control of dissolved oxygen, pH and temperature of bubble column bioreactor for Candida utilis biomass productionHubert Arteaga MiñanoVíctor Vásquez VillalobosAn automatic control system by dissolved oxygen (DO) fuzzy logic, pH and temperature in a bubble column bioreactor (BCB) for Candida utilis CECT 10704 biomass production was implemented. Their performance was compared with the classical proportional control. A data acquisition card for the control was designed, built and programmed, using the 4.14 Eagle software for the design and the 3.0 Microcode Studio Plus for programming. A program in 6.0 Visual Basic, which linked up with 7.0 MatLab for fuzzy control was developed; using Mandani inference, membership functions of input and output trapezoidal and triangular; 4 rules for the DO, 3 for pH and 3 for temperature, with connector and type and for defuzzifying the centroid method. Evaluation of biomass production was performed by determining dry weight and growth kinetics with the Gompertz model.The fuzzy control performance of DO, pH and temperature showed superiority in proportional control, characterized by a very close control to set point and a low standard deviation. DO Fuzzy control at 6 ppm, pH of 6 and 30°C, allowed to have the greatest dry weight of 7.65±0.02 g/L and the highest maximum growth of 1.51±0.2, the lowest adaptation phase of 0.27±0.01 h and the greatest specific speed of Candida utilis growth rate of 0.7±0.01 h-1.http://www.revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/78Fuzzy controlCandida utilisbubble column bioreactor (BCB)Gompertz model.
collection DOAJ
language English
format Article
sources DOAJ
author Hubert Arteaga Miñano
Víctor Vásquez Villalobos
spellingShingle Hubert Arteaga Miñano
Víctor Vásquez Villalobos
Fuzzy control of dissolved oxygen, pH and temperature of bubble column bioreactor for Candida utilis biomass production
Scientia Agropecuaria
Fuzzy control
Candida utilis
bubble column bioreactor (BCB)
Gompertz model.
author_facet Hubert Arteaga Miñano
Víctor Vásquez Villalobos
author_sort Hubert Arteaga Miñano
title Fuzzy control of dissolved oxygen, pH and temperature of bubble column bioreactor for Candida utilis biomass production
title_short Fuzzy control of dissolved oxygen, pH and temperature of bubble column bioreactor for Candida utilis biomass production
title_full Fuzzy control of dissolved oxygen, pH and temperature of bubble column bioreactor for Candida utilis biomass production
title_fullStr Fuzzy control of dissolved oxygen, pH and temperature of bubble column bioreactor for Candida utilis biomass production
title_full_unstemmed Fuzzy control of dissolved oxygen, pH and temperature of bubble column bioreactor for Candida utilis biomass production
title_sort fuzzy control of dissolved oxygen, ph and temperature of bubble column bioreactor for candida utilis biomass production
publisher Universidad Nacional de Trujillo
series Scientia Agropecuaria
issn 2077-9917
2306-6741
publishDate 2012-06-01
description An automatic control system by dissolved oxygen (DO) fuzzy logic, pH and temperature in a bubble column bioreactor (BCB) for Candida utilis CECT 10704 biomass production was implemented. Their performance was compared with the classical proportional control. A data acquisition card for the control was designed, built and programmed, using the 4.14 Eagle software for the design and the 3.0 Microcode Studio Plus for programming. A program in 6.0 Visual Basic, which linked up with 7.0 MatLab for fuzzy control was developed; using Mandani inference, membership functions of input and output trapezoidal and triangular; 4 rules for the DO, 3 for pH and 3 for temperature, with connector and type and for defuzzifying the centroid method. Evaluation of biomass production was performed by determining dry weight and growth kinetics with the Gompertz model.The fuzzy control performance of DO, pH and temperature showed superiority in proportional control, characterized by a very close control to set point and a low standard deviation. DO Fuzzy control at 6 ppm, pH of 6 and 30°C, allowed to have the greatest dry weight of 7.65±0.02 g/L and the highest maximum growth of 1.51±0.2, the lowest adaptation phase of 0.27±0.01 h and the greatest specific speed of Candida utilis growth rate of 0.7±0.01 h-1.
topic Fuzzy control
Candida utilis
bubble column bioreactor (BCB)
Gompertz model.
url http://www.revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/78
work_keys_str_mv AT hubertarteagaminano fuzzycontrolofdissolvedoxygenphandtemperatureofbubblecolumnbioreactorforcandidautilisbiomassproduction
AT victorvasquezvillalobos fuzzycontrolofdissolvedoxygenphandtemperatureofbubblecolumnbioreactorforcandidautilisbiomassproduction
_version_ 1725420033266417664