TY - GEN
T1 - Survey on Integrated Guidance and Control of Unmanned Aerial Vehicle
AU - Luo, Yuxie
AU - Song, Jia
AU - Zhao, Mingfei
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - The integrated guidance and control (IGC) is a method to improve the traditional separation guidance and control design for unmanned aerial vehicles (UAV). The advantage is that this design fully considers the coupling relationship between guidance and control loops, and the full-state control of the UAV can be taken into account, thereby improving the accuracy of guidance. This paper provides a review and discussion of current work on the design of IGC systems. The difficulty in designing an IGC system is that the order of the IGC system is high, and the coupling between states is strong, making the controller design difficult. Its research focuses on IGC methods that satisfy complex multi-constraint conditions, IGC methods with rapid convergence and strong robust IGC methods under uncertainty and unknown disturbances, etc. This paper also discusses possible future work on IGC methods of UAVs, including fault-tolerant and anti-noise IGC methods under harsh working conditions, cooperative IGC design of UAVs and intelligent IGC methods.
AB - The integrated guidance and control (IGC) is a method to improve the traditional separation guidance and control design for unmanned aerial vehicles (UAV). The advantage is that this design fully considers the coupling relationship between guidance and control loops, and the full-state control of the UAV can be taken into account, thereby improving the accuracy of guidance. This paper provides a review and discussion of current work on the design of IGC systems. The difficulty in designing an IGC system is that the order of the IGC system is high, and the coupling between states is strong, making the controller design difficult. Its research focuses on IGC methods that satisfy complex multi-constraint conditions, IGC methods with rapid convergence and strong robust IGC methods under uncertainty and unknown disturbances, etc. This paper also discusses possible future work on IGC methods of UAVs, including fault-tolerant and anti-noise IGC methods under harsh working conditions, cooperative IGC design of UAVs and intelligent IGC methods.
KW - Integrated guidance and control
KW - Multi constraints
KW - Uncertain system
KW - Unmanned aerial vehicle
UR - https://www.scopus.com/pages/publications/105000796745
U2 - 10.1007/978-981-96-2264-1_30
DO - 10.1007/978-981-96-2264-1_30
M3 - 会议稿件
AN - SCOPUS:105000796745
SN - 9789819622634
T3 - Lecture Notes in Electrical Engineering
SP - 309
EP - 318
BT - Advances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 17
A2 - Yan, Liang
A2 - Duan, Haibin
A2 - Deng, Yimin
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Guidance, Navigation and Control, ICGNC 2024
Y2 - 9 August 2024 through 11 August 2024
ER -