基于粒子群算法的行星齿轮传动设计与优化  

Design and optimization of planetary gear transmission based on particle swarm algorithm

作　　者：伊成山 赵天真 YI Chengshan;ZHAO Tianzhen(Qinhai Nationalities University,Xining 810000,China;Zhe Jiang University of Technology,Hangzhou 310014,China)

机构地区：[1]青海民族大学,西宁810000 [2]浙江工业大学,杭州310014

出　　处：《天津理工大学学报》2021年第5期23-26,共4页Journal of Tianjin University of Technology

摘　　要：根据给定的行星齿轮初始条件,本文按照传统设计方法及国标标准设计NGW型行星齿轮传动机构。为改善行星齿轮在传统设计中的复杂算法及不能使目标函数达到最优等问题,采用粒子群优化算法建立行星齿轮传动的优化设计模型。该粒子群优化算法是一种基于MATLAB编程的进化算法,采用粒子群优化算法对经过传统设计的行星齿轮体积进行最小值优化,并与序列二次规划算法优化体积的结果进行对比,粒子群优化算法得到了较小的体积。According to the given initial conditions of a planetary gear,NGW planetary gear transmission mechanism is designed according to the traditional design method and national standard.In order to improve the complex algorithm of planetary gear in traditional design and the problem that the target can not be optimized,the optimal design model of planetary gear transmission is established by the particle swarm optimization algorithm.Particle swarm optimization(PSO)is an evolutionary algorithm based on MATLAB programming.the PSO algorithm performs a minimum optimization of the volume of the traditionally designed planetary gear.compared with the results of the sequence quadratic program(SQP)algorithm for optimizing the volume,the PSO algorithm obtains a smaller volume.

关 键 词：行星齿轮传动机构 粒子群优化算法 序列二次规划算法 

分 类 号：TH122[机械工程—机械设计及理论]