TY - GEN
T1 - An Adaptive Sliding Mode Compound Control Method of Interceptors
AU - Xiong, Jiafu
AU - Li, Junlong
AU - Zhang, Rui
AU - Wang, Chengcai
AU - Ran, Maopeng
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - An novelty control method utilizing adaptive sliding mode is presented for the interceptor’s autopilot system with interference in this paper. The algorithm employs the ideas of sliding mode control, radial basis neural networks and adaptive control. A fast integral sliding mode surface, defined by the angular error, is first proposed. To enhance the robustness of the closed-loop system, a sliding mode control law with partial parameters updated by neural networks is derived. Furthermore, an allocation algorithm is introduced to establish overload quickly. The strategy can avoid initial full deflection of rudder and improve the dynamic transition process between direct force and aerodynamic force in complex flight environment. Numerical simulation results bear out the availability and superiority of the designed algorithm.
AB - An novelty control method utilizing adaptive sliding mode is presented for the interceptor’s autopilot system with interference in this paper. The algorithm employs the ideas of sliding mode control, radial basis neural networks and adaptive control. A fast integral sliding mode surface, defined by the angular error, is first proposed. To enhance the robustness of the closed-loop system, a sliding mode control law with partial parameters updated by neural networks is derived. Furthermore, an allocation algorithm is introduced to establish overload quickly. The strategy can avoid initial full deflection of rudder and improve the dynamic transition process between direct force and aerodynamic force in complex flight environment. Numerical simulation results bear out the availability and superiority of the designed algorithm.
KW - Adaptive radial basis function neural networks
KW - Dynamic control allocation
KW - Sliding mode control
UR - https://www.scopus.com/pages/publications/85151164153
U2 - 10.1007/978-981-19-6613-2_206
DO - 10.1007/978-981-19-6613-2_206
M3 - 会议稿件
AN - SCOPUS:85151164153
SN - 9789811966125
T3 - Lecture Notes in Electrical Engineering
SP - 2105
EP - 2115
BT - Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control
A2 - Yan, Liang
A2 - Duan, Haibin
A2 - Deng, Yimin
A2 - Yan, Liang
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Guidance, Navigation and Control, ICGNC 2022
Y2 - 5 August 2022 through 7 August 2022
ER -