摘要
提出了一种基于神经网络的火箭主动段数字引导决策方法,该方法利用神经网络把实际经验和样本相结合进行学习训练,通过计算各弹道引导数据的差异来判断各弹道的可靠性,并根据事先制定的弹道优先级进行实时决策。通过以往几发火箭主动段任务实测数据复演,验证了这种方法的可行性和有效性。
This paper proposes a neural network based decision scheme for digital guiding during rocket powered ascent periods. By training with practical experience and samples under neural networks, the scheme calculates guiding differences to obtain ballistic reliability, and realizes real-time decision-making according to predefined ballistic priorities. Through experiments with previous rocket launch missions, the scheme is proved to be of considerable feasibility and validity.
出处
《装备学院学报》
2012年第4期79-81,共3页
Journal of Equipment Academy
关键词
弹道
数字引导
神经网络
trajectory
digital guiding
neural network
