Adaptive Control for Maximum Productivity of Continuous Bioprocesses
- 1. Department of Mechatronic Bio/Technological Systems, Institute of Robotics, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Block 2, Sofia 1113 (Bulgaria)
Description
A new adaptive linearizing control algorithm that stabilizes the target product concentration in the culture medium in such value that guarantees maximum production rate is presented. This algorithm is applied on gluconic acid production by Aspergillus Niger. A model for control of the investigated process is derived. The model identification is made on the basis of experimental data and a reduced biotechnological model of batch phase of the process. The switching from batch to continuous mode of cultivation was realized automatically in time when the gluconic acid production rate reaches one maximal value. This information was received by software sensor of gluconic acid production rate. The proposed control algorithm stabilizes the concentration of gluconic acid in the culture medium at value corresponding to the maximal gluconic acid production rate. The simulation results are promising and could be verified in laboratory conditions.
Availability note (English)
Available from https://www.scientific-publications.net/en/article/1002196/Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of International Scientific Publications: Materials, Methods and Technologies (Online)
- Journal Volume
- 15
- Journal Page Range
- p. 40-49
- ISSN
- 1314-7269
INIS
- Country of Publication
- Bulgaria
- Country of Input or Organization
- Bulgaria
- INIS RN
- 53000226
- Subject category
- S37: INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY; S42: ENGINEERING;
- Descriptors DEI
- ALGORITHMS; ASPERGILLUS; BIOTECHNOLOGY; COMPUTER CODES; COMPUTERIZED SIMULATION; FERMENTATION; GLUCONIC ACID; SENSORS
- Descriptors DEC
- BIOCONVERSION; CARBOXYLIC ACIDS; EUMYCOTA; FUNGI; HYDROXY ACIDS; MATHEMATICAL LOGIC; ORGANIC ACIDS; ORGANIC COMPOUNDS; PLANTS; SIMULATION
Optional Information
- Copyright
- Copyright (c) 2021 The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This permission does not cover any third party copyrighted material which may appear in the work requested.