TY - GEN
T1 - Autonomous Aerial Recovery System of a Compound Mother-Daughter UAV System
AU - Fu, Xuyi
AU - Zhang, Yao
AU - Li, Huadong
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - Micro aerial vehicles (MAVs) are usually chosen as daughter-UAVs for many complicated missions in mother-daughter UAV system, and their recovery method is significant for the coordination between mother-UAV and daughter-UAVs. This paper aims to develop a autonomous recovery system for mother-daughter UAV system, which consists of a recovery mechanism subsystem and its corresponding recovery algorithms. The recovery system relies on a finite state machine architecture, and a relocation state is included for the daughter-UAVs to re-locate the corresponding recovery platform. The recovery mechanism is designed as a shelter, which includes three layers of the rolling-shutter platform and one layer of the bottom platform. The proposed recovery algorithms include the part of detection and the tracking controller. The detection subsystem based on a multi-state visual marker is developed, which helps the daughter-UAVs locate the recovery platform quickly and accurately. Then, a state-based PID controller and a reference-speed compensation controller are developed for the tracking subsystem, in order to transform a “moving platform” recovery problem into a “static platform” recovery problem. The proposed recovery system is tested in the simulation environment (Gazebo), in which the mother-UAV’s motion mode includes static and moving. Through the quantitative analyses of the experimental results, it is verified that the state-based PID controller with reference-speed compensation presents a better tracking effect, and the proposed system is effective for the autonomous recovery of four daughter-UAVs in aerial.
AB - Micro aerial vehicles (MAVs) are usually chosen as daughter-UAVs for many complicated missions in mother-daughter UAV system, and their recovery method is significant for the coordination between mother-UAV and daughter-UAVs. This paper aims to develop a autonomous recovery system for mother-daughter UAV system, which consists of a recovery mechanism subsystem and its corresponding recovery algorithms. The recovery system relies on a finite state machine architecture, and a relocation state is included for the daughter-UAVs to re-locate the corresponding recovery platform. The recovery mechanism is designed as a shelter, which includes three layers of the rolling-shutter platform and one layer of the bottom platform. The proposed recovery algorithms include the part of detection and the tracking controller. The detection subsystem based on a multi-state visual marker is developed, which helps the daughter-UAVs locate the recovery platform quickly and accurately. Then, a state-based PID controller and a reference-speed compensation controller are developed for the tracking subsystem, in order to transform a “moving platform” recovery problem into a “static platform” recovery problem. The proposed recovery system is tested in the simulation environment (Gazebo), in which the mother-UAV’s motion mode includes static and moving. Through the quantitative analyses of the experimental results, it is verified that the state-based PID controller with reference-speed compensation presents a better tracking effect, and the proposed system is effective for the autonomous recovery of four daughter-UAVs in aerial.
KW - Autonomous aerial recovery system
KW - Daughter-UAV
KW - Mother-UAV
KW - Multi-state visual marker
KW - Reference-speed compensation
KW - Vision-based tracking
UR - http://www.scopus.com/inward/record.url?scp=85130918505&partnerID=8YFLogxK
U2 - 10.1007/978-981-16-9492-9_82
DO - 10.1007/978-981-16-9492-9_82
M3 - Conference contribution
AN - SCOPUS:85130918505
SN - 9789811694912
T3 - Lecture Notes in Electrical Engineering
SP - 830
EP - 842
BT - Proceedings of 2021 International Conference on Autonomous Unmanned Systems, ICAUS 2021
A2 - Wu, Meiping
A2 - Niu, Yifeng
A2 - Gu, Mancang
A2 - Cheng, Jin
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Autonomous Unmanned Systems, ICAUS 2021
Y2 - 24 September 2021 through 26 September 2021
ER -