摘要
针对机动发射条件下的弹道快速规划问题,提出了基于神经网络状态预报模型的典型助推-滑翔导弹助推段弹道在线规划方法。导弹发射后,运用事先训练的神经网络拟合弹道计算过程,预报关机点状态,结合优化算法快速生成满足终端再入约束的飞行程序。仿真结果表明,所提神经网络预报及飞行程序解算模型能够适应给定的机动发射条件,在2 s内输出全程飞行程序,且实际终端状态量满足关机制导要求。
Aiming at the problem of rapid trajectory planning under the condition of mobile launch,an online trajectory planning method based on neural network state prediction model for typical boost-glide missile is proposed.After the missile launches,the trajectory calculation process is fitted by the neural network trained beforehand,and the final state of the boost phase is predicted.Combining with the optimization algorithm,the flight program satisfying the terminal reentry constraint is determined rapidly.The simulation results show that the neural network prediction and flight program solution model can adapt to the given maneuvering launch conditions,output the whole flight program in 2 seconds,and the actual terminal state meets the requirements of shutdown guidance.
作者
刘哲
郑伟
王磊
周祥
杨跃能
LIU Zhe;ZHENG Wei;WANG Lei;ZHOU Xiang;YANG Yueneng(College of Aerospace Science,NUDT,Changsha 410073,China;College of Information and Communication,NUDT,Wuhan 430019,China)
出处
《飞行力学》
CSCD
北大核心
2020年第4期46-52,共7页
Flight Dynamics