TY - GEN
T1 - Sliding Mode Cooperative Guidance Law Based on RBF Neural Network Gain Regulation
AU - Shi, X. Y.
AU - Deng, H. B.
N1 - Publisher Copyright:
© 2023, Beijing HIWING Sci. and Tech. Info Inst.
PY - 2023
Y1 - 2023
N2 - Aiming at the problems of high-speed jitter of line of sight inclination rate and difficult to meet the dynamic characteristics of actuator in the face of high maneuvering targets in the traditional sliding mode guidance law, a guidance law which can adaptively adjust the benefits of variable structure terms in the traditional sliding mode guidance law is designed based on the sliding mode variable structure theory and neural network. A distance based cooperative control method is designed based on the guidance law, which is verified by simulation, The sliding mode guidance law based on RBF neural network gain adjustment can adjust the gain adaptively. Compared with the traditional sliding mode guidance law, the jitter of line of sight angular rate at the end can be effectively suppressed; The cooperative control method based on the guidance law can effectively ensure the distance between missiles, and hit high maneuvering targets.
AB - Aiming at the problems of high-speed jitter of line of sight inclination rate and difficult to meet the dynamic characteristics of actuator in the face of high maneuvering targets in the traditional sliding mode guidance law, a guidance law which can adaptively adjust the benefits of variable structure terms in the traditional sliding mode guidance law is designed based on the sliding mode variable structure theory and neural network. A distance based cooperative control method is designed based on the guidance law, which is verified by simulation, The sliding mode guidance law based on RBF neural network gain adjustment can adjust the gain adaptively. Compared with the traditional sliding mode guidance law, the jitter of line of sight angular rate at the end can be effectively suppressed; The cooperative control method based on the guidance law can effectively ensure the distance between missiles, and hit high maneuvering targets.
KW - Coordinated control
KW - Radial basis neural network
KW - Sliding-mode guidance guidance law
UR - http://www.scopus.com/inward/record.url?scp=85151052113&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-0479-2_37
DO - 10.1007/978-981-99-0479-2_37
M3 - Conference contribution
AN - SCOPUS:85151052113
SN - 9789819904785
T3 - Lecture Notes in Electrical Engineering
SP - 392
EP - 400
BT - Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022
A2 - Fu, Wenxing
A2 - Gu, Mancang
A2 - Niu, Yifeng
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Autonomous Unmanned Systems, ICAUS 2022
Y2 - 23 September 2022 through 25 September 2022
ER -