An Approach to Attitude Angle Adjustment of Solid Missiles under the Condition of Depleted Shutdown Based on BP NeuralNetwork

doi:10.3969/j.issn.1000-1093.2015.04.014

Abstract

Abstract: To solve the fuel remaining issue of solid engine, an attitude angle adjustment scheme for energy management is established by using the BP neural network approximation algorithm, which is applicable to the condition of depleted shutdown. According to reentry angle, engine thrust deviation and range, the scheme computes attitude adjustment angle under interference when the second stage rocket engine ignites for 10 s, which ensures the accuracy of the energy consumption and provides a precondition for close-loop guidance. The validity and feasibility of the model are demonstrated by simulation.

Key words: ordnance science and technology, depleted shutdown, BP neural network, energy management, close-loop guidance

CLC Number:

V412.1

XIAN Yong, LI Shao-peng, LI Bang-jie. An Approach to Attitude Angle Adjustment of Solid Missiles under the Condition of Depleted Shutdown Based on BP NeuralNetwork[J]. Acta Armamentarii, 2015, 36(4): 668-673.

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