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 dif?cult or even impossible due to its highly nonlinearity and large operation scope. In our research, the Arti?cial Neural Network Model Reference Control (ANN-MRC) method was therefore utilized for model identi?cation and controller design for O2 production process of a speci?c 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.
| Original language | English |
|---|---|
| Pages (from-to) | 232-238 |
| Number of pages | 7 |
| Journal | Acta Astronautica |
| Volume | 83 |
| DOIs | |
| State | Published - 2013 |
Keywords
- Artificial neural network
- Computer simulation
- Model reference control
- Photo bioreactor
- System identification
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