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基于浮点编码遗传算法的行星轮系折叠机构优化设计

Based on the Floating-point Coded Genetic Algorithm Planetary Gear Train Folding Mechanism Optimization Design
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摘要 针对折叠机翼变体飞机,设计一种适合装配在变体飞机小空间的行星轮系折叠机构。在系统研究行星轮系设计目标、设计变量和约束条件的基础上,基于浮点编码遗传算法,使用MATLAB优化工具箱对其主要参数进行优化。结果表明:相对于安全系数法,浮点编码遗传算法可减轻结构重量16.7%,使折叠机构在满足设计指标的情况下达到质量最轻的目的;采用浮点编码遗传算法进行优化求解是行星轮系机构设计的一种行之有效的优化设计方法。 According to the folding wing morphing aircraft, a planetary gear train of folding mechanism is de- signed, which suits assembly in the small space of morphing aircraft. On the basis of the systematic study of the planetary gear design goals, variables and constraints, the main parameters are optimized by using the floating- point coded genetic algorithm, and the MATLAB optimization toolbox. Research shows that by using floating- point coded genetic algorithm the structure weight can be reduced by 16.7 % compared with the safety coefficient method, and the minimum weight of the folding mechanism is achieved in the case of meeting the design specifi- cations. Therefore the floating-point coded genetic algorithm optimization solution for planetary gear mechanism design is an effective optimal design method.
出处 《航空工程进展》 2013年第3期280-284,305,共6页 Advances in Aeronautical Science and Engineering
关键词 折叠机构 行星轮系 遗传算法 轮系优化 folding mechanism planetary gear train genetic algorithm gear optimization
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参考文献5

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