多无人机仿射编队的抗扰控制设计
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天津大学电气与自动化工程学院

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TP273

基金项目:

国家重点研发计划资助 (2018YFB1403900)


Robust Control Design of Affine Formation Control for Multiple Unmanned Aerial Vehicles
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Affiliation:

Tianjin University

Fund Project:

National Key R&D Program of China (2018YFB1403900)

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    摘要:

    多无人机仿射编队控制能够根据编队需求实现灵活的编队机动. 针对存在外界未知扰动情况下的多无人机编队形成及变换问题, 本文研究了多无人机仿射编队抗扰控制及编队形成与变换过程中的避碰问题. 首先, 针对在外界干扰情况下仿射编队形成及变换问题, 设计了一种基于误差符号函数积分(robust integral of the signum of error, RISE)的鲁棒控制算法. 该控制算法能够对未知外界扰动造成的影响进行有效的补偿, 提高了多无人机仿射编队控制的鲁棒性. 然后, 基于Lyapunov分析法证明了编队控制系统的稳定性. 针对多无人机机间避碰问题, 利用缓冲维诺单元对无人机飞行区域进行分离, 在仿射编队形成及变换过程中保证无人机间的碰撞避免. 针对避碰过程中可能出现的死锁问题, 提出了一种启发式算法使无人机能够顺利从死锁中恢复.最后, 使用仿真及实验平台验证了本文所提出算法的有效性.

    Abstract:

    Multi-UAV affine formation control enables flexible formation maneuvering according to formation needs. This paper proposed a new robust affine formation control strategy for a group of UAVs which is subjected to unknown external disturbances. Collision avoidance is also achieved with the proposed control strategy. A robust control algorithm based on the robust integral of the signum of error (RISE) is developed to deal with issues associated with the formation and transformation problem of affine formation under external disturbances. This control algorithm can effectively compensate for the effects of unknown external disturbances and enhance the robustness of the multi-UAV affine formation. The stability of the formation control system is proved via Lyapunov based stability analysis.To address the issue of collision avoidance among multiple UAVs, the space occupied by each UAV is partitioned using buffered voronoi cell (BVC) method. Then the collision avoidance during both the affine formation and transformation can be achieved. To deal with the possible deadlock problem that may arise during the collision avoidance process, a heuristic algorithm is designed to facilitate the smooth recovery of UAVs from deadlock. Finally, the proposed algorithm"s effectiveness is validated through the simulation and experimental platform.

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  • 收稿日期:2023-11-10
  • 最后修改日期:2024-06-25
  • 录用日期:2024-02-21
  • 在线发布日期: 2024-04-10
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