Abstract
Turbulence control involves fluid dynamics and control theory, and is of great importance to many fields such as aeronautics and astronautics, vehicle, wind power generation, etc. Due to the complexity of turbulence, traditional control methods face many bottlenecks in the field of turbulence control. The development of artificial intelligence (AI) technology provides a tool to break through these bottlenecks. This paper briefly summarizes the applications of AI in turbulence control reported in the literature, focusing on AI control systems, algorithms, and the outstanding achievements achieved in different turbulence control applications, as well as the first attempt by the author's team to analyze the big data generated by the AI control system to discover important information and even the control scaling law. The challenges and future prospects are also analyzed.
| Translated title of the contribution | Advances in control of turbulence by artificial intelligence: Systems, algorithms, achievements and data analysis methods |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 273-307 |
| Number of pages | 35 |
| Journal | Advances in Mechanics |
| Volume | 53 |
| Issue number | 2 |
| DOIs | |
| State | Published - Jun 2023 |
| Externally published | Yes |
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