A two-stage rapid optimization method for the overall parameters of ballistic missiles
To address the problem of how to balance the computational complexity and accuracy of the overall parameter optimization for ballistic missiles,a two-stage optimization model based on el-liptical trajectory theory and precise trajectory was established,taking advantage of the small devia-tion between the passive phase trajectory and the elliptical trajectory.Based on the modelling of the overall parameters of ballistic missiles,this problem was abstracted as a parameter fast optimization problem with minimum launch mass under the maximum range constraint.In order to accelerate the optimization speed,the elliptical trajectory was used instead of the precise trajectory in the first stage of optimization,and the particle swarm optimization algorithm was used for the global search to ob-tain quasi-optimal solutions.Then,the quasi-optimal solution was used as the initial solution in the second stage of optimization,in which the error caused by the elliptical trajectory was corrected.The simulation results show that the proposed method significantly improves the optimization speed while ensuring the optimization accuracy,and has a certain engineering application value.
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