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Saturation attack based route planning and threat avoidance algorithm for cruise missiles 被引量:12
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作者 Guanghui Wang Xuefeng Sun +1 位作者 Liping Zhang Chao Lv 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2011年第6期948-953,共6页
According to the characteristic of cruise missiles,navigation point setting is simplified,and the principle of route planning for saturation attack and a concept of reference route are put forward.With the help of the... According to the characteristic of cruise missiles,navigation point setting is simplified,and the principle of route planning for saturation attack and a concept of reference route are put forward.With the help of the shortest-tangent idea in route-planning and the algorithm of back reasoning from targets,a reference route algorithm is built on the shortest range and threat avoidance.Then a route-flight-time algorithm is built on navigation points.Based on the conditions of multi-direction saturation attack,a route planning algorithm of multi-direction saturation attack is built on reference route,route-flight-time,and impact azimuth.Simulation results show that the algorithm can realize missiles fired in a salvo launch reaching the target simultaneously from different directions while avoiding threat. 展开更多
关键词 aerospace system engineering control and navigation technology of aero-craft mission planning route planning cruise missile saturation attack threat avoidance.
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Hierarchical reinforcement learning guidance with threat avoidance
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作者 LI Bohao WU Yunjie LI Guofei 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2022年第5期1173-1185,共13页
The guidance strategy is an extremely critical factor in determining the striking effect of the missile operation.A novel guidance law is presented by exploiting the deep reinforcement learning(DRL)with the hierarchic... The guidance strategy is an extremely critical factor in determining the striking effect of the missile operation.A novel guidance law is presented by exploiting the deep reinforcement learning(DRL)with the hierarchical deep deterministic policy gradient(DDPG)algorithm.The reward functions are constructed to minimize the line-of-sight(LOS)angle rate and avoid the threat caused by the opposed obstacles.To attenuate the chattering of the acceleration,a hierarchical reinforcement learning structure and an improved reward function with action penalty are put forward.The simulation results validate that the missile under the proposed method can hit the target successfully and keep away from the threatened areas effectively. 展开更多
关键词 guidance law deep reinforcement learning(DRL) threat avoidance hierarchical reinforcement learning
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