TY - GEN
T1 - Finite-Time Convergent Sliding-Mode Guidance Law for High-Speed Flight Vehicle with Bearings-Only Measurement
AU - Qu, Yaohong
AU - Wang, Kai
AU - Yu, Ziquan
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9
Y1 - 2020/9
N2 - Aiming at the problem of a high-speed flight vehicle accurate tracking a target on the ground, a finite-time sliding-mode guidance law during the whole guidance period is proposed. Different from the traditional tracking guidance problem which believes that the acceleration of non-cooperative targets is known, this paper uses filtering method to obtain target motion parameters. First of all, the model of the vehicle-target tracking is established in the planar. Then, by combining the finite-time control and sliding-mode variable structure control methods, the finite-time sliding-mode guidance law is developed, and the designed guidance law's finite-time stability proved theoretically. Furthermore, the extended Kalman filter (EKF) is used to estimate vehicle-target relative range, relative velocity, and target acceleration involved in the guidance law during the whole guidance period, in which the vehicle equips a passive seeker that the bearings-only measurement (BOM) is available. Finally, numerical simulations demonstrate it can provide good performance for the filter.
AB - Aiming at the problem of a high-speed flight vehicle accurate tracking a target on the ground, a finite-time sliding-mode guidance law during the whole guidance period is proposed. Different from the traditional tracking guidance problem which believes that the acceleration of non-cooperative targets is known, this paper uses filtering method to obtain target motion parameters. First of all, the model of the vehicle-target tracking is established in the planar. Then, by combining the finite-time control and sliding-mode variable structure control methods, the finite-time sliding-mode guidance law is developed, and the designed guidance law's finite-time stability proved theoretically. Furthermore, the extended Kalman filter (EKF) is used to estimate vehicle-target relative range, relative velocity, and target acceleration involved in the guidance law during the whole guidance period, in which the vehicle equips a passive seeker that the bearings-only measurement (BOM) is available. Finally, numerical simulations demonstrate it can provide good performance for the filter.
UR - http://www.scopus.com/inward/record.url?scp=85094975837&partnerID=8YFLogxK
U2 - 10.1109/ICUAS48674.2020.9213953
DO - 10.1109/ICUAS48674.2020.9213953
M3 - 会议稿件
AN - SCOPUS:85094975837
T3 - 2020 International Conference on Unmanned Aircraft Systems, ICUAS 2020
SP - 1183
EP - 1188
BT - 2020 International Conference on Unmanned Aircraft Systems, ICUAS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Conference on Unmanned Aircraft Systems, ICUAS 2020
Y2 - 1 September 2020 through 4 September 2020
ER -