An aircraft closed-loop robust trajectory optimization method, device and medium
By using a closed-loop robust trajectory optimization method, the problem of insufficient consideration of uncertainties in trajectory planning in existing technologies is solved, and high-precision and robust trajectory tracking of spacecraft under complex conditions is achieved, thereby improving the flight stability and safety of guided rockets.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING INST OF TECH
- Filing Date
- 2024-11-15
- Publication Date
- 2026-05-26
AI Technical Summary
Existing trajectory planning methods fail to effectively consider uncertainties, resulting in insufficient robustness of trajectory planning for aircraft under highly nonlinear dynamics and multiple constraints. This is especially true in long-range guided rockets, where it is difficult to correct deviations without power, affecting flight accuracy and safety.
A closed-loop robust trajectory optimization method is adopted. By establishing an optimal control model that includes uncertainties, and utilizing convex optimization and model predictive control, a robust trajectory tracking problem is constructed. Dynamic uncertainty propagation and online trajectory optimization are carried out to form a closed-loop robust trajectory optimization architecture, thereby improving the robustness and accuracy of trajectory tracking.
It significantly improves the robustness and guidance accuracy of the flight trajectory, enabling the aircraft to maintain stability and accuracy in the face of uncertain interference, and enhancing its adaptability to multiple constraints.
Smart Images
Figure CN120066061B_ABST