摘要
本文基于一艘典型的单体试验艇(长宽比约为11∶1),在单体试验艇艇型参数基础上考虑其综合性能(快速性、操纵性)进行双体无人艇的艇型综合优化设计分析。讨论不同子目标函数的分配权重时,优化结果随着不同遗传代数的变化,根据优化计算得到了设计排水量100 t的包括低、中和高速双体无人艇的9组最优化结果。根据优化结果得到遗传算法的收敛代数,分析子目标函数关于吃水敏感度,并探讨影响操纵性性能的艇型瘦长度和艇型中纵剖面投影的关系。运用单体艇进行双体无人艇的优化设计办法可为相似的无人艇性能优化设计提供参考,得到的9组优化结果可用于今后加入更多性能指标进行优化提供对比分析。
In this paper, supported by a typical mono-type test boat (the aspect ratio is about 11∶1), the comprehensive optimization design of the catamaran unmanned surface vehicle is analyzed based on the mono-type test boat's comprehensive performance (rapidity and maneuverability). By setting different sub-goal functions with the distribution of weight and change of different genetic algebra, the optimization results were calculated according to the optimization design of displacement of 100 t including low, medium and high speed catamaran unmanned surface vehicles. According to the optimization results, we obtained the algebraic convergence of the genetic algorithm, analyzed the objective function sensitivity about the draft, and discussed the influence of maneuverability performance between boat thin length and boat in longitudinal projection relationship. In this paper, the optimal design method of the catamaran unmanned surface vehicle by using a single boat can provide a reference for the performance optimization design of the relevant unmanned surface vehicles. Nine groups of optimization results of this paper can be utilized to add more performance indicators for optimization in the future to provide comparative analysis.
作者
汪保江
杨松林
程占元
施妍
WANG Bao-jiang;YANG Song-lin;CHENG Zhan-yuan;SHI Yau(School of Naval Architecture and Ocean Engineering,Jiangsu University of Science and Technology,Zhenjiang 212003,China)
出处
《舰船科学技术》
北大核心
2021年第5期69-75,共7页
Ship Science and Technology
关键词
双体无人艇
改进型遗传算法
船舶操纵性
性能综合优化
catamaran unmanned surface vehicle
improved genetic algorithm
ship maneuverability
comprehensive performance optimization