摘要
为了更好地优化行星NGW齿轮传动多目标优化设计问题的解决方法,提出一种基于离子运动算法改进的云自适应惯性权重混沌离子运动算法。以最小体积,最大重合度和最大总传动效率为多目标优化函数,同时添加9个齿轮传动的边界约束条件,并建立惩罚函数对边界约束条件进行处理,从而完成对目标进行ACIMO算法下的优化计算与设计。结果表明:采用ACIMO算法相对于常规设计,使体积减少54.3%,重合度增加4.72%,总传动效率增加0.875 9%;且与原始IMO算法相比,在常规设计的基础上,体积减少5.45%,重合度增加2.34%,总传动效率增加0.31%,优化结果较好,各目标得到了更加合理的优化,说明算法改进策略是行之有效的,从而为行星NGW齿轮传动优化提供了一个新而高效的求解途径。
In order to optimize the multi-objective optimization design of NGW planetary gear transmission better,an improved cloud adaptive inertia weight chaotic ions motion algorithm(ACIMO)based on ions motion algorithm(IMO)is proposed.Taking the minimum volume,maximum contact ratio and maximum total transmission efficiency as multi-objective optimization functions,nine boundary constraints of gear transmission are added,and penalty functions are established to deal with the boundary constraints,so as to complete the optimization calculation and design of the target under ACIMO algorithm.The results show that compared with the conventional design,ACIMO algorithm reduces the volume by 54.3%,increases the contact ratio by 4.72%,and increases the total transmission efficiency by 0.8759%.Compared with the original IMO algorithm,the volume is decreased by 5.45%,the contact ratio is increased by 2.34%,and the total transmission efficiency is increased by 0.31%.The optimization results are better and the objectives are achieved.The more reasonable optimization shows that the improved algorithm is effective,which provides a novel and efficient solution for the optimization of NGW planetary gear transmission.
作者
王丙柱
汪超
王璐
谢能刚
WANG Bingzhu;WANG Chao;WANG Lu;XIE Nenggang(Anhui University of Technology,Ma′anshan,243002,China)
出处
《洛阳理工学院学报（自然科学版）》
2019年第3期40-46,96,共8页
Journal of Luoyang Institute of Science and Technology：Natural Science Edition
基金
安徽省科技厅项目(17030901037)
作者简介
王丙柱(1992-),男,安徽六安人,在读硕士研究生,主要从事机械齿轮传动优化设计方面的研究.
