基于故障诊断与路径重规划的氢能无人机返航控制方法
By employing a hierarchical fault diagnosis and path replanning approach, the problem of returning to home for hydrogen-powered drones under fuel cell failure was solved, ensuring that the path met flight capability constraints, achieving a safe return, and improving the success rate of autonomous return in complex environments.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SIPING POWER SUPPLY COMPANY OF STATE GRID JILINSHENG ELECTRIC POWER SUPPLY
- Filing Date
- 2026-04-21
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, hydrogen-powered drones cannot accurately diagnose the type of failure in the event of a fuel cell malfunction. The path planning is disconnected from flight capability constraints, resulting in the return path failing to meet the dynamic constraints after the failure, which may lead to a crash.
A fault diagnosis and path replanning-based approach is adopted. By obtaining UAV status information through hierarchical fault diagnosis, a return path that meets dynamic capability constraints is generated. This includes fault mode recognition and dynamic capability constraint embedding path planning to ensure that the return path conforms to the actual flight capabilities of the UAV.
It enabled the safe return of the drone in the event of a fuel cell failure, improving the success rate of autonomous return and mission preservation capabilities in complex environments.
Smart Images
Figure CN122111099B_ABST