This article presents a laser tracker position optimization code based on the tracker uncertainty model developed by the National Physical Laboratory (NPL). The code is able to find the optimal tracker positions for generic measurements involving one or a network of many trackers, and an arbitrary set of targets. The optimization is performed using pattern search or optionally, genetic algorithm (GA) or particle swarm optimization (PSO). Different objective function weightings for the uncertainties of individual points, distance uncertainties between point pairs, and the angular uncertainties between three points can be defined. Constraints for tracker position limits and minimum measurement distances have also been implemented. Furthermore, position optimization taking into account of lines-of-sight (LOS) within complex CAD geometry have also been demonstrated. The code is simple to use and can be a valuable measurement planning tool.
|Publication status||Unpublished - 2014|
|Event||8th international conference on Digital Enterprise Technology - Stuttgart, Germany|
Duration: 25 Mar 2014 → 28 Mar 2014
|Conference||8th international conference on Digital Enterprise Technology|
|Abbreviated title||DET 2014|
|Period||25/03/14 → 28/03/14|