基于形状误差不确定度的大尺寸测量系统优化配置方法

针对大尺寸测量系统部署问题,提出了面向测量任务的以形状误差不确定度为评价指标的优化配置测量系统的方法。对于基于蒙特卡罗仿真方法的测量点仿真和多测量仪器数据融合进行了研究。在建立形状误差评定模型基础上,提出并实现了基于粒子群算法的形状误差评定模型的求解及基于蒙特卡罗法的形状误差不确定度计算方法。通过某卫星舱段端框的仿真试验,验证了以不确定度为指标进行大尺寸测量系统配置方法的有效性,可为大尺寸测量系统现场快速部署提供方案指导。

Optimal Configuration Method for Large-scale Measurement Systems Based on Form Error Uncertainty

For large-scale measuring system configuration, the solution to configure measurement systems based on form error uncertainty of measurement task is presented. The point simulation and data fusion from multiple instruments based on Monte Carlo are studied. Based on form error mathematical model, particle swarm optimization method is adopted to solve form error and Monte Carlo method is used to simulate and evaluate form error uncertainty. Finally, the simulation measurement test of a large frame between satellite cabins has been carried out. The test results indicated that the proposed method for optimal measurement systems configuration based on form error uncertainty is effective. This method is able to provide a solution guide for rapid shop-floor deployment of large-scale measurement systems.