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Publication Details
| Published Date: | |
|---|---|
| Authors: | Zheng Wang, Alistair Forbes, Paul Maropoulos |
| Company: | CMSC |
| Print Format: | Technical Paper |
| Citation: | Zheng Wang, Alistair Forbes, Paul Maropoulos, "Laser Tracker Position Optimization," The Journal of the CMSC, Vol. 9, No. 1, Spring 2014 |
Abstract
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.
