遗传算法在轴向柱塞泵配流盘结构优化设计中的应用

The optimel desigh of valve plate in axial piston pumps by using genetic algorithm

柱塞泵配流盘配流结构参数的选取对配流噪声的影响非常大 ,对其参数的优化是一个多维的非线性离散优化问题 ,并且优化过程中需要不断求解非线性微分方程。使用传统的机械优化设计方法效果不佳。本文为了解决这个问题 ,采用改进的遗传算法 ,以无压差过渡条件下压力梯度峰值最小为目标函数 ,对配流结构参数进行优化设计。采用实数编码及精英选择法 ,以提高遗传算法的性能。最后以矩形槽结构的配流盘为例 。

Improved genetic algorithm is used as a tool. The object function is to minimize the pressure gradient peak on control of pressure difference transition. A non-binary coding method and excellent string protected method are adopted to improve the performance of genetic algorithm. At last, the simulation on distribution structure shows that the improved genetic algorithm is efficient.