Advances in control of turbulence by artificial intelligence: Systems, algorithms, achievements and data analysis methods

WU Zhi; FAN De Wei; ZHOU Yu

doi:10.6052/1000-0992-22-045

Volume 53 Issue 2

Jun. 2023

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Wu Z, Fan D W, Zhou Y. Advances in control of turbulence by artificial intelligence: Systems, algorithms, achievements and data analysis methods. Advances in Mechanics, 2023, 53(2): 273-307 doi: 10.6052/1000-0992-22-045

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Wu Z, Fan D W, Zhou Y. Advances in control of turbulence by artificial intelligence: Systems, algorithms, achievements and data analysis methods. Advances in Mechanics, 2023, 53(2): 273-307 doi: 10.6052/1000-0992-22-045

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Advances in control of turbulence by artificial intelligence: Systems, algorithms, achievements and data analysis methods

doi: 10.6052/1000-0992-22-045

WU Zhi^†,
FAN De Wei^†,
ZHOU Yu^,

Center for Turbulence Control, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, Guangdong, China

More Information

Corresponding author: yuzhou@hit.edu.cn
Received Date: 2022-10-24
Accepted Date: 2023-01-28

Available Online: 2023-02-06

Publish Date: 2023-06-25

Abstract

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.
- artificial intelligence,
- big data,
- flow control,
- turbulence,
- neural network,
- genetic programming,
- deep reinforcement learning

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References(90)

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