基于浮点编码遗传算法的行星轮系折叠机构优化设计

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。

Based on the Floating-point coded Genetic Algorithm Planetary Gear Train Folding Mechanism Optimization Design

According to the folding wing morphing aircraft, designed a planetary gear train of folding mechanism, which suit assembly in the small space of morphing aircraft. On the basis of the systematic study of the planetary gear design goals, variables and constraints, describes the floating-point coded genetic algorithm, using the MATLAB optimization toolbox to optimize its main parameters. Research shows that the structure weight loss 16.7% compared with the safety coefficient method, achieve the minimum weight of the folding mechanism in the case of meeting the design specifications. Therefore the floating-point coded genetic algorithm optimization solution for planetary gear mechanism design is an effective optimal design method.