TY - GEN
T1 - An improved multiple UAVs cooperative flight algorithm based on Leader Follower strategy
AU - Chen, Tao
AU - Gao, Qi
AU - Guo, Mingyu
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/6
Y1 - 2018/7/6
N2 - With the development of micro unmanned aerial vehicles (UAVs), the UAVs have broad prospects and social needs in many fields such as disaster rescue, fire alarm, road reconnaissance, logistics transportation and so on. Compared to the single drone, multiple UAVs cooperation can enhance the efficiency and the capacity on load handling. In this paper, an improved multiple UAVs cooperative flight algorithm is proposed based on Leader Follower strategy. The Ultra Wide Band (UWB) ranging modules are applied to multiple UAVs cooperative flight, the relative distance between the UAVs provided by the UWB modules and the segmented waypoints GPS information are combined to achieve a cooperative flight. The cooperative algorithm consists of two main parts: the relative distance control is based on ESO (extended state observer), which can effectively guarantee the movement consistency and avoid the collision during flight; the transverse correction algorithm can ensure the following UAV track the leader tightly by segmented waypoints GPS information. Compared to the original Leader Follower strategy, this algorithm does not need complex communication protocols and higher real-time information processing ability. Meanwhile, it can achieve cooperative flight even when there exists a larger disturbance.
AB - With the development of micro unmanned aerial vehicles (UAVs), the UAVs have broad prospects and social needs in many fields such as disaster rescue, fire alarm, road reconnaissance, logistics transportation and so on. Compared to the single drone, multiple UAVs cooperation can enhance the efficiency and the capacity on load handling. In this paper, an improved multiple UAVs cooperative flight algorithm is proposed based on Leader Follower strategy. The Ultra Wide Band (UWB) ranging modules are applied to multiple UAVs cooperative flight, the relative distance between the UAVs provided by the UWB modules and the segmented waypoints GPS information are combined to achieve a cooperative flight. The cooperative algorithm consists of two main parts: the relative distance control is based on ESO (extended state observer), which can effectively guarantee the movement consistency and avoid the collision during flight; the transverse correction algorithm can ensure the following UAV track the leader tightly by segmented waypoints GPS information. Compared to the original Leader Follower strategy, this algorithm does not need complex communication protocols and higher real-time information processing ability. Meanwhile, it can achieve cooperative flight even when there exists a larger disturbance.
KW - ESO
KW - UAV
KW - UWB
KW - cooperative control
UR - http://www.scopus.com/inward/record.url?scp=85050856537&partnerID=8YFLogxK
U2 - 10.1109/CCDC.2018.8407124
DO - 10.1109/CCDC.2018.8407124
M3 - Conference contribution
AN - SCOPUS:85050856537
T3 - Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018
SP - 165
EP - 169
BT - Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 30th Chinese Control and Decision Conference, CCDC 2018
Y2 - 9 June 2018 through 11 June 2018
ER -