A distributed nash equilibrium search method and device for cooperative control of a quadrotor unmanned aerial vehicle group under non-convex speed constraints
By constructing a kinematic model of a UAV with non-convex velocity constraints and a distributed estimation mechanism, combined with a nonlinear gain operator, the cooperative control problem of a quadrotor UAV swarm under non-convex constraints was solved, achieving stable convergence and efficient control under actual physical constraints.
Patent Information
- Authority / Receiving Office
- CN Β· China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NANJING UNIV OF SCI & TECH
- Filing Date
- 2026-02-06
- Publication Date
- 2026-05-29
AI Technical Summary
Existing distributed Nash equilibrium search algorithms struggle to handle non-convex velocity constraints in the cooperative control of quadrotor UAV swarms, leading to system instability, performance degradation, and an inability to achieve stable and efficient cooperative control under actual physical constraints.
A kinematic model of a UAV considering non-convex velocity constraints is constructed, a distributed estimation mechanism and a nonlinear gain operator are designed, the degree of information trust is quantified by an undirected graph model and a weight matrix, global state estimation is performed by combining a consensus protocol, and a nonlinear gain module is introduced to compensate for non-convex constraints, ensuring that the UAV swarm converges to Nash equilibrium under non-convex constraints.
Under non-convex velocity constraints, the system ensures that the state of the UAV swarm converges to Nash equilibrium, achieving stable cooperative control, which enhances the system's reliability and engineering practicality, and is applicable to scenarios such as formation, reconnaissance, logistics, and agricultural plant protection.
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