基于水下双雷平行航向齐射模型的多参数自适应寻优方法研究OACSTPCD

In order to improve the probability of underwater target capture,the double-mine parallel heading salvo method has been widely adopted,and the strike advance angle,deployment coefficient and spread angle of the salvo model all affect the target capture probability,and previous research in related fields mainly focuses on the influence of double mine deploy-ment coefficient and spread scatter angle on target capture probability,which has certain limitations.In this paper,a parallel heading salvo model to improve the probability of double mine capture is given,and a multi-parameter optimal solution equa-tion is theoretically derived,and a multi-parameter adaptive optimization method is given to solve the equation.Combined with simulation experiments,based on Monte Carlo method,the feasibility of multi-parameter adaptive optimization method is verified by comparing the target capture probability of the traditional double-ray salvo model with the optimization model.The results of the study provide an effective reference for the further use of torpedo salvo tactics.