A low-cargo risk field constraint automatic return and automatic landing method
By constructing a multidimensional continuous risk field model and a joint optimization path, the problem of multidimensional risk modeling for automatic return and landing of low-altitude manned aircraft in urban environments was solved, achieving automatic landing with high safety and comfort.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HUBEI HANRUIJING AUTOMOBILE INTELLIGENT SYST CO LTD
- Filing Date
- 2026-03-26
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies lack the ability to systematically model multi-dimensional risk factors in the automatic return and automatic landing of low-altitude manned aircraft. They are unable to achieve joint optimization under risk field constraints in urban low-altitude environments, which may lead the global path to guide the aircraft into high-risk areas or make the final landing point unreachable.
Based on environmental data perceived by multiple sensors, a multidimensional continuous risk field model is constructed. A continuously differentiable risk field function is generated by weighted superposition. Combining the fast travel method and a nonlinear programming solver, a global safe return path is generated. In the approach to the landing point, the model predictive control is switched to generate a smooth landing trajectory.
It achieves highly reliable and safe emergency return and automatic landing in unstructured urban environments, improving passenger comfort and landing feasibility.
Smart Images
Figure CN122411534A_ABST