Article ID Journal Published Year Pages File Type
1715104 Acta Astronautica 2013 7 Pages PDF
Abstract

When Bioregenerative Life Support System (BLSS) is used for long-term deep space exploration in the future, it is possible to perform closed-loop control on growth of microalgae to effectively regulate O2 production process in emergencies. However, designing controller of microalgae cultivating device (MCD) by means of traditional methods is very difficult or even impossible due to its highly nonlinearity and large operation scope. In our research, the Artificial Neural Network Model Reference Control (ANN-MRC) method was therefore utilized for model identification and controller design for O2 production process of a specific MCD prototype—photo bioreactor (PBR), based on actual experiment and computer simulation. The results demonstrated that the ANN-MRC servo controller could robustly and self-adaptively control and regulate the light intensity of PBR to make O2 concentrations in vent pipe be in line with step reference concentrations with prescribed dynamic response performance.

► A valid ANN model was indentified for capturing O2 response to light intensity. ► ANN-MRC servo controller of O2 production was developed by digital simulation. ► Real-time simulation was conducted for validation, verification and accreditation. ► ANN-MRC servo controller could precisely control the growth of S. platensis.

Related Topics
Physical Sciences and Engineering Engineering Aerospace Engineering
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