TY - GEN
T1 - The Guidance Method of UAV with Sensor Failure Based on Multi-UAVs Cooperation
AU - Wang, Yue
AU - Hou, Tingting
AU - Yin, Hao
AU - Su, Heng
AU - Zhang, Tao
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - In today’s complex antagonistic environment, UAVs are often subject to infrared, electromagnetic or compound interference, resulting in sensors failure. This problem has attracted much attention. In this paper, a third-party cooperative guidance method is designed, which enables the UAV with failed sensors to convert the direct detected data of other sensors into guidance instructions. A data fusion method based on fuzzy set theory is adopted to reduce the propagation error of calculation. This method does not need the prior information of measurement equipment. Finally, simulations are performed in a typical combat mode for qualitative and quantitative analysis. The results show that the guidance accuracy of cooperative guidance is not lower than that of single UAV active guidance, and the cooperative guidance method can replace the function of original sensor.
AB - In today’s complex antagonistic environment, UAVs are often subject to infrared, electromagnetic or compound interference, resulting in sensors failure. This problem has attracted much attention. In this paper, a third-party cooperative guidance method is designed, which enables the UAV with failed sensors to convert the direct detected data of other sensors into guidance instructions. A data fusion method based on fuzzy set theory is adopted to reduce the propagation error of calculation. This method does not need the prior information of measurement equipment. Finally, simulations are performed in a typical combat mode for qualitative and quantitative analysis. The results show that the guidance accuracy of cooperative guidance is not lower than that of single UAV active guidance, and the cooperative guidance method can replace the function of original sensor.
KW - Cooperative guidance
KW - Data fusion
KW - Sensor failure
UR - http://www.scopus.com/inward/record.url?scp=85130917757&partnerID=8YFLogxK
U2 - 10.1007/978-981-16-9492-9_115
DO - 10.1007/978-981-16-9492-9_115
M3 - Conference contribution
AN - SCOPUS:85130917757
SN - 9789811694912
T3 - Lecture Notes in Electrical Engineering
SP - 1157
EP - 1166
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 -