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基于多目标优化的跨介质航行体水面滑跳初始运动参数设计 被引量:1

Initial Kinematic Parameters Design of Trans-media Vehicle Skipping over Water Surface Based on Multi-objective Optimization
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摘要 基于耦合欧拉-拉格朗日方法,开展了初始运动参数对带滑板跨介质航行体近水面滑跳过程的影响规律研究。采用参数回归方法分别建立最大浸深、最大过载和俯仰角变化3个变量随航行体初始速度、入水角、滑板倾角变化的关系式,得到了跨介质航行体稳定滑跳的参数包络,在入水角2°~5°、滑板倾角10°~25°、速度60~80 m/s范围之间,且在范围内各参数之间会相互制约。在此基础上,基于多目标优化算法获得了最适宜航行体稳定滑跳的初始参数为入水速度60.1 m/s、滑板倾角18.8°、入水角2°,在此参数范围内,跨介质航行体的水面滑跳过程可以在不超过航行体过载要求的条件下获得相对最小的入水浸深和俯仰角变化。 The influence of the initial kinematic parameters on the skipping process of a trans-media vehicle over water surface is numerically studied based on coupled Eulerian-Lagrangian method.The relationships among three parameters,including the maximum immersion depth,the maximum overload and the pitching angle variation,and the initial motion parameters,including the initial velocity and incident angle of trans-media vehicle and the inclination angle of skipping plate,are analyzed by means of the parameter regression method.The parameter envelope of stable skipping process of the trans-media vehicle is obtained at the incident angles ranging from 2°to 5°,the inclination angles of skipping plate ranging from 10°to 25°,and the initial velocities ranging from 60 to 80 m/s.Based on the multi-objective optimization algorithm,the most suitable target parameters for the stable skipping process of the vehicle are obtained as follows:the initial velocity of 60.1 m/s,the skipping plate s inclination angle of 18.8°,and the incident angle of 2°.Within this parameter range,the relative minimum values of immersion depth and pitching angle variation can be obtained during the skipping process of the trans-media vehicle without exceeding the overload requirements.
作者 孙士明 郁伟 王晓辉 李振旺 刘彩连 SUN Shiming;YU Wei;WANG Xiaohui;LI Zhenwang;LIU Cailian(National Key Laboratory on Hydrodynamics,China Ship Scientific Research Center,Wuxi 214082,Jiangsu,China)
出处 《兵工学报》 EI CAS CSCD 北大核心 2024年第2期541-551,共11页 Acta Armamentarii
关键词 跨介质 水面滑跳 多目标优化 耦合欧拉-拉格朗日方法 trans-medium skipping motion multi-objective optimization coupled Euler-Lagrangian method
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