基于事件触发的多四旋翼无人机编队双层串联博弈控制
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TP273

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国家自然科学基金区域创新发展联合基金项目(U22A2079);安徽工程大学引进人才科研基金项目(2022YQQ050).


Event-triggered-based two-level tandem game-theoretic control for multi-QUAV formation
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    摘要:

    针对多四旋翼无人机系统编队控制问题, 提出一种基于事件触发机制的双层串联博弈编队控制算法. 该算法对多四旋翼无人机编队任务进行解构, 以此设计多场对局并构建双层串联博弈控制框架. 首先, 在第1层博弈中, 具备通信能力的四旋翼无人机对通过在两场对局中的博弈交互, 求解出可使双方位置与速度达到纳什均衡状态的位置策略与速度策略. 其次, 每架四旋翼无人机对第1层博弈中与多架四旋翼无人机对局产生的两组策略进行加权处理, 生成作为第2层博弈参与变量的两个控制策略. 进一步, 围绕各四旋翼无人机的位置误差与速度误差构建第2层博弈中的对局模型, 通过博弈优化过程确定最佳增益系数, 进而获取使位置误差与速度误差达到纳什均衡的最优控制策略. 此外, 引入事件触发机制, 动态调整控制策略更新, 降低对四旋翼无人机有限机载资源的消耗. 最后, 通过仿真实验与实际平台测试, 验证所提算法在多四旋翼无人机编队控制中的有效性与可行性.

    Abstract:

    A two-level tandem game formation control algorithm based on event triggering mechanism is proposed for the problem of formation control of multi-quadrotor unmanned aerial vehicles (QUAVs) system. This algorithm deconstructs the formation tasks of multiple QUAVs, thereby designing multiple games and constructing a two-level tandem game control framework. Firstly, the communication-capable QUAV pairs in the first-level game solve the position and velocity strategies that can bring the positions and velocities of both sides to a Nash equilibrium state by interacting with each other in the two games. Then, each QUAV weights the two sets of strategies generated from the first-level game with multiple QUAVs to generate the two control strategies that serve as the participation variables for the second-level game. The game model of the second-level game is further constructed around the position error and velocity error of each QUAV, and the optimal weight parameters are determined through the game optimization process, so as to obtain the optimal control strategy to make the position error and velocity error reach the Nash equilibrium. Furthermore, an event-triggered mechanism is introduced to dynamically adjust the control strategy, thereby conserving the limited onboard resources of the QUAVs. Finally, the effectiveness and feasibility of the proposed algorithm in multi-QUAV formation control are verified through simulation experiments and real platform tests.

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蔡方玉,黄宜庆,邓雄峰,等.基于事件触发的多四旋翼无人机编队双层串联博弈控制[J].控制与决策,2026,41(5):1287-1298

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  • 收稿日期:2025-05-13
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  • 在线发布日期: 2026-04-17
  • 出版日期: 2026-05-10
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