现代制造工程Issue(2)：25-29,5.DOI:10.16731/j.cnki.1671-3133.2017.02.005
基于改进粒子群算法的垂直度误差评定
Perpendicularity error evaluation based on an improved particle swarm optimization
摘要
Abstract
Currently Least Square Method (LSM) is commonly applied in the error evaluation,but it is adaptive to the condition of low accuracy requirement.Besides,the error value obtained by LSM is not the minimum.In order to accurately evaluate perpendicularity error,a minimum zone mathematical model for the perpendicularity error evaluation was given based on the new generation Geometrical Product Specification and verification(GPS) standards.According to the characteristics of perpendicularity error evaluation,a new adaptive particle swarm optimization algorithm with dynamically changing inertia weight is proposed to implement optimization in the error evaluation.Finally,an example was given to illustrate the proposed method.关键词
新一代GPS/最小区域/垂直度/惯性权重/自适应粒子群优化算法Key words
the new generation GPS/the minimum zone method/perpendicularity/inertia weight/adaptability particle swarm optimization分类
机械制造引用本文复制引用
周东栋,樊军..基于改进粒子群算法的垂直度误差评定[J].现代制造工程,2017,(2):25-29,5.基金项目
国家自然科学基金项目(11462021) （11462021）
