一种适用于中小型无人机抗风试验的复杂风场模拟方法
By generating directional microvortex groups using plasma exciter arrays and ultrasonic interferometry, and combining fuzzy PID control and deep spatiotemporal convolutional networks, the problems of turbulent microvortex distribution and flow field stability in wind resistance tests of small and medium-sized UAVs were solved, achieving high-precision three-dimensional turbulent field simulation and UAV wind resistance performance evaluation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- JIANGSU SUPERVISION & INSPECTION INST FOR PROD QUALITY
- Filing Date
- 2025-06-30
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies lack sufficient precision in controlling the spatial distribution of turbulent micro-vortices during wind resistance tests of small and medium-sized UAVs, and the dynamic stability of the flow field is lacking under open-loop control, making it difficult to achieve precise control and maintain dynamic stability of the three-dimensional turbulent field.
By employing the coordinated control of plasma exciter array and ultrasonic interferometry, a directional micro-vortex group is generated. Combined with fuzzy PID control algorithm and deep spatiotemporal convolutional network, high-precision spatial distribution and closed-loop stability control of three-dimensional turbulent field are achieved.
It achieves high-precision spatial distribution control of three-dimensional turbulent fields and closed-loop stability under complex wind field environments, improving the accuracy and dynamic response capability of UAV wind resistance tests.
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Figure CN120740907B_ABST