摘要
时间协同攻击是提高弹道导弹突防能力和作战效能的一种重要手段。由于发动机推力偏差等干扰因素造成导弹的飞行时间偏差较大,为精确控制弹道导弹的飞行时间,运用BP神经网络算法,建立了一种适用于较大飞行时间偏差修正的飞行时间调控模型。该模型用视加速度偏差表征推力偏差等干扰的影响,根据视加速度偏差调整导弹飞行中某一时段的程序角来实现对飞行时间的精确控制。由BP神经网络建立满足飞行时间偏差要求下视加速度与飞行程序角速率、转弯结束时间之间的映射关系。导弹实际飞行时,根据实际视加速度,由BP神经网络在线计算出飞行程序角速率及转弯结束时间,使导弹在干扰条件下仍以预定飞行时间到达目标。最后,通过仿真验证了该模型的有效性和可行性。
Time-cooperative is an important method to improve the penetration ability and operation efficiency of ballistic missile,because of the large missile flight time deviation that is caused by thrust,a time control model which is applicable to great flight time deviation was established by using the BP neural network algorithm for controlling ballistic missile flight time precisely. The influence of interference such as thrust deviation was represented by acceleration deviation,and the missile flight time was controlled precisely by adjusting the flight process angel at a period of time of the missile flight based on acceleration deviation. The mapping relationship under the condition of meeting the requirement of flight time deviation between acceleration and flight process angel rate and the end time of the turn was built with BP neural network. In actual missile flight,calculating the acceleration and flight process angel rate and the end time of the turn online through BP neural network according to the actual acceleration,which ensures the missile reached target at standard flight time under interference. The validity and feasibility of the model are demonstrated by simulation.
作者
李泽秀
朱昱
鲜勇
张大巧
LI Ze-xiu ZHU-Yu XIAN Yong ZHANG Da-qiao(Elementary Command College, Rocket Force Engineering University, Xi＇ an 710025, China)
出处
《飞行力学》
CSCD
北大核心
2017年第2期54-58,共5页
Flight Dynamics
