基于改进粒子群算法的新一代GPS平面度误差评定

Flatness Error Evaluation of the New Generation of GPS Based on an Improved Particle Swarm Optimization

摘要: 为了在全局范围准确评价平面度误差, 根据新一代GPS标准, 建立了符合最小区域条件的平面度评定的数学模型.针对平面度误差评定的特点, 提出了一种基于遗传交叉因子的改进粒子群优化算法对平面度测量数据进行最小区域评定, 给出了该算法的实现方法.实例结果表明, 此方法可以在新一代GPS标准下有效、准确地评价平面度误差.

Abstract: Based on the new generation of GPS, a minimum zone mathematical model for flatness error evaluation was given. According to the characteristics of flatness error evaluation, an improved Particle Swarm Optimization (PSO) based on genetic hybrid gene is proposed to evaluate the mathematical model. Finally an example verifies the feasibility and availability of the method.