Impact time cooperative guidance law of UAV based on maneuvering target state estimation
Wei Zhu1
Feng Yu2
Jin Guo1
Wenchao Xue3
Yanpeng Hu4
1.School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing 100083,China2.The Chinese People's Liberation Army 91614,Dalian 116041,Liaoning,China3.State Key Laboratory of Mathematical Sciences,Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing 100190,China;School of Mathematical Sciences,University of Chinese Academy of Sciences,Beijing 100049,China4.School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing 100083,China;Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education,Beijing 100083,China
摘要：Considering the impact of terminal impact time constraints and the state information of maneuvering targets on the guidance accuracy in multi-UAV cooperative guidance,this paper proposes an impact time cooperative control guidance law(ITCCG)that combines the optimal error dynamics with an improved adaptive cubature Kalman filter(IACKF)algorithm.First,a terminal impact time feedback term is introduced into proportional navigation guidance based on the relative virtual guidance model,and terminal time control is achieved through optimal error dynamics.Then,the Huber loss function is used to reduce the impact of measurement outliers,and the diagonal decomposition is applied to address the issue of non-positive definite matrices that cannot undergo Cholesky decomposition.Finally,the ITCCG and IACKF algorithms combined achieve multi-UAV time-cooperated guidance based on maneuvering target state estimation.Simulation results show that the proposed algorithm effectively reduces the target state estimation error and achieves cooperative guidance within the desired time frame.
机标关键词：targetstateimpacttimebasedcooperativeestimationguidance
论文发表日期：2026-02-28
在线出版日期：2026-03-27（本平台首次上网日期，不代表文献的发表时间）
页数：16( 38-53 )
英文信息