基于LEVY飞行量子粒子群的带式输送机齿轮优化设计及仿真  

Optimization Design and Simulation Based on QPSO with Levy for Gear of Ribbon Conveyer

作　　者：陈彦涛[1] 张祺[2] CHEN Yan-tao;ZHANG Qi(School of Electronic Information&Electrical Engineering,Anyang Institute of Technology,He’nan Anyang455000,China;School of Mechanical Engineering,Panzhihua University,Sichuan Panzhihua617000,China)

机构地区：[1]安阳工学院电子信息与电气工程学院,河南安阳455000 [2]攀枝花学院机械工程学院,四川攀枝花617000

出　　处：《机械设计与制造》2020年第4期54-57,61,共5页Machinery Design & Manufacture

基　　金：四川省应用基础研究—变双曲线圆弧齿线圆柱齿轮接触及润滑特性研究(2018JY0420)。

摘　　要：以带式输送机单级圆柱齿轮减速器为研究对象,在建立其优化数学模型的基础上,提出了一种基于levy飞行策略的量子粒子群算法,并利用提出的算法对其齿轮模数、齿数、齿宽系数、螺旋角等参数进行优化。在MATLAB中实现该算法并与传统的QPSO等方法对比,结果表明:基于levy飞行策略的量子粒子群算法(QPSO)其优化效果明显优于PSO算法和文献中所提出的算法,相比常规设计,体积减少了59.71%,相比QPSO,体积减少了8.90%,具有良好的优化性能,有限元分析结果表明,与优化前相比,优化后的承载能力并没有减降低。The single-stage cylindrical gear reducer of belt conveyor is taken as the research object.The improved PSO algorithm with quantum behavior basedonlevy is adopted to optimize its parameters such as gear modulus,tooth number,tooth width coefficient and spiral Angle based on its optimization mathematical model.In order to verify the effect of the proposed improved QPSO algorithm,we realized it and compare with QPSO method in the MATLAB algorithm,the results show that the optimization effect is better than PSO algorithm that proposed in the literature,compared with conventional design,volume decreased by 59.71%,compared with QPSO,and volume decreased by 8.90%,the improved PSO algorithm with quantum behavior has a good optimization performance,finite element analysis results show that the optimized bearing capacity increased.

关 键 词：带式输送机 参数优化 粒子群 量子粒子群 仿真 

分 类 号：TH16[机械工程—机械制造及自动化]