无人机故障检测与编队飞行重构

Yuta Araki, K. Uchiyama, Kai Masuda
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引用次数: 0

摘要

本文研究了无人机编队飞行中出现故障时的编队重新配置方法。提出了基于相关系数的故障检测方法和基于最优分配问题的编队重构方法。相关系数通过检测控制输入的命令值与实际输入的相似度来检测故障。最优分配问题可以保证无人机在重新配置过程中对新目标位置进行一对一的分配,并使总移动距离最小。通过数值仿真验证了该方法在固定翼无人机编队飞行中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fault Detection and Formation Flying Reconfiguration of UAVs
This paper describes the method for reconfiguring formations when some UAVs fail in a formation flight. We proposed fault detection using correlation coefficient and formation reconfiguration by applying the optimal allocation problem in this method. The correlation coefficient can detect faults by examining the similarity between the commanded value of the control input and the actual input. The optimal assignment problem can ensure a one-to-one assignment of UAVs to new target positions and minimize the total distance moved during the reconfiguration. Numerical simulation is performed to confirm the effectiveness of the proposed method for the formation flight of fixed-wing UAVs.
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