基于粒子群算法的涡旋体三坐标仪检测数据处理方法研究

粒子群算法是一种新出现的进化算法,相对其它进化算法,它收敛速度快、规则简单、编程易于实现.本文提出了一种利用三坐标测量仪检测涡旋型线的数据,基于粒子群优化算法技术来评价型线轮廓度误差的数据处理方法.该方法优点在于在涡旋型线轮廓度误差评定过程中能自动实现加工基准与测量基准的适应性调整,以此分离加工基准与测量基准之间的位置误差,消除位置误差对轮廓度误差评定结果的影响.经实际应用证实,该方法简便、合理,为科学地评价涡旋型线轮廓度提供了依据.

An processing method of measured data from scroll wrap using a three-coordinate machine based on PSO

Particle swarm optimization algorithm is a newly developed evolutionary algorithm. Compared with other evolutionary algorithms, it converges more quickly, its rules are more simple and the programming is easier. Based on PSO, a data processing method of profile tolerance error for scroll wrap is presented. Its distinguishing characteristic is that the position of measuring data can be adjusted automatically to adapt to the position of machining data during the process of calculation. As a result, the position error between the measuring data and the machining data is separated and eliminated from the profile tolerance error. Used in practice, this method runs simply, quickly and economically.