摘要
为研究新型水下蓄能式鱼雷发射装置,建立了水下蓄能式发射装置发射过程数学模型。运用遗传算法对水下蓄能式发射装置结构参数和内弹道参数进行了优化计算,在优化过程中,针对参数多、单位及数值数量级不同的情况,采用参数归一化处理成无量纲值,把多目标优化问题转化为单目标优化问题,并采用罚函数法处理约束条件。优化结果表明:优化后的结构参数不但满足发射要求,而且装置的体积小、质量轻、内弹道性能更好。
To study new type of underwater energy-accumulated torpedo launcher,its mathematical mode is built.Its structure and interior ballistic parameters are optimized by using genetic algorithm.For several parameters and their different units and magnitudes,normalization is applied to transfer multi-objective optimization to single-object optimization,and penalty function method is used to deal with restriction condition.The optimization results show that the optimized structure parameters meet the requirements of launching well and the launcher has small volume,light weight and better interior ballistic performance.
出处
《兵工学报》
EI
CAS
CSCD
北大核心
2011年第9期1094-1098,共5页
Acta Armamentarii
关键词
流体力学
蓄能式发射装置
数学模型
归一化
遗传算法
fluid dynamics
energy-accumulated launcher
mathematical model
normalization
genetic algorithm
