一种基于事件触发的无人机最优安全着陆自适应评价控制方法
By proposing an event-triggered adaptive evaluation control method for optimal safe landing of UAVs, this paper addresses the problems of low efficiency in handling asymmetric constraints and heavy network transmission burden in the landing control of quadrotor UAVs, achieves optimal safe landing of UAVs, and provides rigorous stability and learning convergence proofs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HAINAN UNIV
- Filing Date
- 2026-05-12
- Publication Date
- 2026-07-17
AI Technical Summary
Existing quadcopter UAV landing control suffers from problems such as low efficiency in handling asymmetric constraints, heavy network transmission burden, and lack of rigorous proof for stability and learning convergence.
An event-triggered adaptive evaluation and control method for optimal safe landing of unmanned aerial vehicles (UAVs) is adopted. By establishing a UAV landing dynamics model, a constraint-transformation mapping is introduced to transform the state and control asymmetric boundary constraints into an unconstrained problem. Static and dynamic event triggering mechanisms are designed, and an adaptive evaluation and control algorithm is constructed by combining integral reinforcement learning. A neural network is used to approximate the optimal cost function and a normalized weight update law is designed.
It effectively handles asymmetric constraints of state and control, reduces control update frequency, lowers network transmission burden, achieves optimal safe landing of UAVs, and proves system stability and learning convergence through rigorous Lyapunov stability theory.
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Figure CN122411535A_ABST