基于蚁群算法大功率曝气机减速齿轮箱的可靠性优化设计

Reliability Optimization Design of Reducing Planet Gear Box in Big Power Inverted Umbrella Aeration Machine Based on Ant Colony Algorithm

蚁群算法是基于群体的一种仿生算法,对于复杂系统的优化设计具有鲁棒性好、寻优能力强等特点。本文以大功率倒伞曝气机行星减速齿轮箱的体积最小为优化目标函数,建立了行星减速齿轮箱的数学模型,并运用蚁群算法和MATLAB语言,对行星齿轮箱进行了优化计算。优化结果表明,基于蚁群算法的优化设计较传统优化设计相比,在满足设计要求的前提下体积更轻。为行星齿轮箱的其它优化设计提供了新的思路方法。

Ant colony algorithm is a bionics algorithm based on colony, and has some advantages of good robustness and search capability for complicated systems' optimization design. This paper takes the smallest volume of reducing planet gear box as the optimized target function, and establishes mathematical model, and finally uses ant colony algorithm and the MATLAB language to optimize planet gear box. The optimization results show that the volume optimization designed by ant colony algorithm is lighter than that by traditional design while meeting the demands of design. It provides a new idea for solving other optimization designs of planet gear box.