基于并行选择遗传算法的3Z(Ⅱ)型行星轮系优化设计

Optimization Design of 3Z(Ⅱ) Planetary Gear Train based on Parallel Selected Genetic Algorithm

研究了3Z(Ⅱ)型行星轮系的优化设计方法。以行星轮系的体积最小、传动效率最高为目标函数建立了多目标优化模型,利用惩罚函数将原约束问题转换为无约束优化问题,提出了基于并行选择遗传算法的多目标优化求解算法。实例表明,该方法适用于3Z(Ⅱ)型行星轮系的多目标优化,且优化效果显著。该法对于其它行星轮系的优化设计也具有借鉴意义。

The optimization design method of 3Z （Ⅱ） planetary gear train is studied. The multiple ob- ject optimization model, whose objective functions are the minimum of volume of gear train and the maximum of transmission efficiency is built. The constrained optimization is transformed into unconstrained optimization by penalty function, and a solution algorithm is proposed based on parallelism selection genetic algorithm （GA）. The case shows, the proposed method can apply to the optimization methods of 3Z （Ⅱ） planetary gear train and the optimization effects are noticeable. There is much for reference of this method to other optimization of planetary gear train.