摘要
针对滑翔飞行器末端速度约束条件下的制导问题,本文在分析侧向过载对速度的控制作用后提出了两种制导方法。首先,建立侧向机动模型,分析侧向机动运动对飞行器能量耗散的作用,提出利用侧向机动控制飞行器落速;其次,为准确控制飞行器末端速度,分别提出基于速度修正和神经网络的制导方法,并进行了六自由度仿真计算。仿真结果表明:本文所提出的制导方法能够在落角约束条件下准确控制飞行器末端速度;基于速度修正的制导方法在工程上易于实现,基于神经网络的制导方法具有更好的速度控制效果,具备在线实施的能力。本文所提出的落速约束制导方法具有较好的工程实用性,对此类飞行器的制导系统设计具有一定的参考意义。
In order to solve the guidance problem of glide vehicle under terminal velocity constraint,two guidance methods are proposed after analyzing the deceleration effect of lateral overload in this paper.First⁃ly,a lateral maneuvering model is established and the effect of lateral maneuvering motion on energy dissi⁃pation of the aircraft is analyzed,and then using lateral maneuvering overload to control the terminal veloc⁃ity is proposed.Secondly,in order to accurately control the terminal velocity,guidance methods based on flight speed correction and neural network are proposed respectively,and six degrees of freedom simulations are implemented.The simulation results show that the guidance methods proposed in this paper can accu⁃rately control the terminal velocity of the aircraft under the constraint of impact angle.The guidance method based on flight velocity correction is easy to implement in engineering practice,and the guidance method based on neural network has better control effect and the ability to deploy online.The terminal velocity con⁃straint guidance methods proposed have good engineering applicability and have reference significance for the guidance system design of this kind of glide vehicle.
作者
张佩俊
杨灿
王小妮
蔺睿
杨若眉
ZHANG Peijun;YANG Can;WANG Xiaoni;LIN Rui;YANG Ruomei(The Institute of Xi’an Aerospace Solid Propulsion Technology,Xi’an 710025,China)
出处
《航天控制》
CSCD
2024年第1期24-29,共6页
Aerospace Control
关键词
滑翔飞行器
落速约束
速度修正
神经网络
Glide vehicle
Terminal velocity constraint
Velocity correction
Neural network