基于粒子群算法和分割逼近法的复杂曲面轮廓度误差计算  

Calculation of Complex Surface Profile Errors Based on Hybrid Particle Swarm Optimization Algorithm

作　　者：廖平[1] 

机构地区：[1]中南大学,长沙4100831

出　　处：《中国机械工程》2010年第2期201-205,共5页China Mechanical Engineering

基　　金：国家自然科学基金资助项目(50675229);国家重点基础研究发展计划资助项目(2007CB707703))

摘　　要：建立了复杂曲面轮廓度误差的数学模型,提出采用分割逼近法计算测点到NURBS曲面的最小距离。将分割逼近法和粒子群优化算法相结合,用于计算复杂曲面轮廓度误差,该方法易于计算机实现,且计算精确度高,可以达到任意给定的精度,非常适用于三坐标测量机。This paper established a math model ot complex surtace profile errors, proposea subdivision approach algorithm for calculating the minimum distance between point and NURBS surface,and established the method for calculating eomplex surface profile errors based on particle swarm optimization algorithm and subdivision approach algorithm. This method can obtain precise results to calculate complex surface profile errors, can be realized easily using computer and applied to three coordinate measuring machines.

关 键 词：粒子群优化算法 智能优化算法 复杂曲面轮廓度误差 数据处理 

分 类 号：TB921[一般工业技术—计量学]