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The paper presents a control system for biotechnological processes, using an image processing-based biomass concentration transducer. The advantages of using such transducers are the low price and the response time, which is faster than any off-line measuring method. These advantages do not exclude the accuracy of the measurement. The chosen case study is a yeast growth process, a typical biotechnological...
The use of control engineering in the case of wastewater treatment processes can be an efficient way to improve their performances. This paper deals with implementation and evaluation of an optimization procedure used to determine the optimal values of the setpoints and the fixed command variables from the low level of the control structure. The optimization procedure is based on the relaxation method,...
It is well known that in the case of the wastewater treatment bioprocesses, including anaerobic digestion process, usually, the complete knowledge of inputs is not available and therefore the implementation of the control laws becomes a difficult problem. Therefore, in the sequel, for the above mentioned process two observer structures, able to estimate the unknown concentration of the input will...
The paper treats the optimization of a multipurpose biotechnological plant composed by a photobioreactor interconnected with an anaerobic digester. A comparative study of the results offered by deterministic and stochastic extremum seeking methods for the anaerobic digester optimization was achieved. The photobioreactor optimization assumes to ensure the optimal regime of the radiative transfer and...
This research deals with the use of artificial neural networks for modeling a nonlinear biotechnological process, thus approximating a nonlinear function. In the absence of a mathematical model, an artificial neural network trained with a set of representative data can successfully replace and predict the system's behavior in time. Furthermore, this approximation is useful in the identification algorithms,...
This research evaluates the cell growth stages in a culture of Saccharomyces cerevisiae yeast using image processing algorithm. This algorithm is able to detect intracellular patterns, cell size and other parameters which determines the growth stage of cells (young, mature, in division, old, dead cell) using image clustering methods. The images studied in the present work were captured using a regular...
This work evaluates the possibility of measuring the biomass concentration and diagnosing the cell viability in non-stained cultures of yeast cells through image processing techniques. The algorithm presented in this study is validated on Saccharomyces cerevisiae cells. It processes the images acquired off-line on a bright field microscope, in order to enhance the features of the cells, to assess...
This paper addresses the performance modeling and analysis in the case of a wastewater treatment system for removal of phosphorus, consisting a biological reactor and a secondary settling tank. The mathematical model was developed in the SIMBA simulation environment. The system is based on an actual municipal wastewater treatment plant. The implemented architecture is similar to that in BSM1 (the...
The paper deals with the optimal control (extremum seeking algorithm) of an anaerobic digestion process. It uses a simplified version of the anaerobic digester model. Three cases of optimization criteria are considered taking into account the quality variable of the process: 1. the methane quantity in gaseous form, 2. the level of pollutants (it is expressed as the difference between the influent...
This paper deals with the design of a controller that maximizes the biomass production in an artificially lighted photobioreactor operated in batch mode, by maintaining the ratio between the incident light intensity and the biomass concentration (light-to-microalgae ratio) at targeted light regime. The controller acts on the incident light intensity applied on the photobioreactor surface. First, the...
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