摘要
建立了圆柱度误差评价的最小区域法、最小二乘法、最小外接圆柱法和最大内接圆柱法的数学模型,将一种含收敛因子的粒子群优化算法应用于圆柱度误差的目标函数的优化问题。通过实例的分析与计算,比较了各种模型的计算精度。
Several models of cylindricity error evaluation, such as MZC, LSC, MCC and MIC, were given, a constriction factor model of the Particle Swarm Optimization （PSO） was introduced. According to the error evaluation functions, the modified PSO was used to search for the optimal solution. By comparing the results of different models, it is shown that the MZC model is more effective.
出处
《机床与液压》
北大核心
2008年第2期106-109,共4页
Machine Tool & Hydraulics
基金
国家自然科学基金资助项目(项目编号:50505046)
关键词
圆柱度
误差评定
收敛因子
粒子群优化算法
Cylindricity
Error evaluation
Constriction factor
Particle Swarm Optimization
