TY - JOUR
T1 - 落角与视场约束制导控制一体化策略
AU - Guo, Zongyi
AU - Yang, Xiaohong
AU - Hu, Guanjie
AU - Guo, Jianguo
AU - Wang, Guoqing
N1 - Publisher Copyright:
© 2022 China Spaceflight Society. All rights reserved.
PY - 2022/12
Y1 - 2022/12
N2 - A novel integrated guidance and control (IGC) strategy based on adaptive dynamic programming (ADP) is proposed for high precision strike of hypersonic vehicles with the constraints of field of view (FOV) and impact angle. Firstly, a FOV command integrating the FOV angle and impact angle constraints is designed to achieve accurate hit and satisfy two constraints while tracking FOV angle accurately, thus transforming the constraint problem into a tracking problem. Then, the adaptive dynamic programming guidance and control integration method is designed with the help of adaptive disturbance observer technology. The guidance control state quantity and uncertainty are introduced into the performance index, and the FOV constraint and impact angle constraint are taken into account. The optimal control strategy is solved by using the reinforcement learning idea of ADP, which not only ensures the accurate strike of the hypersonic vehicle, but also satisfies FOV and impact angle constraints, and takes into account the robustness to uncertainty. The simulation results verify the effectiveness and advantages of the proposed method.
AB - A novel integrated guidance and control (IGC) strategy based on adaptive dynamic programming (ADP) is proposed for high precision strike of hypersonic vehicles with the constraints of field of view (FOV) and impact angle. Firstly, a FOV command integrating the FOV angle and impact angle constraints is designed to achieve accurate hit and satisfy two constraints while tracking FOV angle accurately, thus transforming the constraint problem into a tracking problem. Then, the adaptive dynamic programming guidance and control integration method is designed with the help of adaptive disturbance observer technology. The guidance control state quantity and uncertainty are introduced into the performance index, and the FOV constraint and impact angle constraint are taken into account. The optimal control strategy is solved by using the reinforcement learning idea of ADP, which not only ensures the accurate strike of the hypersonic vehicle, but also satisfies FOV and impact angle constraints, and takes into account the robustness to uncertainty. The simulation results verify the effectiveness and advantages of the proposed method.
KW - Adaptive dynamic programing
KW - Field-of-view constraint
KW - Hypersonic vehicles
KW - Impact angle constraint
KW - Integrated guidance and control
UR - http://www.scopus.com/inward/record.url?scp=85166740983&partnerID=8YFLogxK
U2 - 10.3873/j.issn.1000-1328.2022.12.009
DO - 10.3873/j.issn.1000-1328.2022.12.009
M3 - 文章
AN - SCOPUS:85166740983
SN - 1000-1328
VL - 43
SP - 1676
EP - 1685
JO - Yuhang Xuebao/Journal of Astronautics
JF - Yuhang Xuebao/Journal of Astronautics
IS - 12
ER -