Research on Emergency Mobile Launch Mission Planning Based on Dynamic Planning and Fuzzy Neural Network

Abstract

Under the background of the high integration of space forces into joint operations and the increasingly fierce military struggle in space, emergency mobile launch capability, an important part of space forces, is a key supporting force for improving space combat capabilities. According to the research law of emergency mobile launch mission, the multivariable factory (warehouse) location and the number of satellites, rockets, and launch vehicles were included, and the constraint parameters were established and included in the model. T-SNE classifies the plane parameters through the SNE algorithm, then adjusts the continuity parameters and builds the evaluation model of dynamic planning to evaluate the distribution; the base model adjusts and analyzes the optimal emergency task constraint scheme, which has high loss performance and meets the value interval of the launch task constraint condition, and the construction cost is the lowest. Based on the heat relationship rule analysis of sensitivity and rationality, the experiment's comprehensive score is higher than all the established base models, then through the optimized emergency task constraints scheme, construction cost reduction of 15% to 20%, emergency motor launch mission loss compared to the basic model reduced by about 30%. This paper explores the characteristics, laws, and bottlenecks of constructing an emergency mobile launch force, and provides strong support for the performance of space missions.