Laser tracker position optimization

Z Wang, A. Forbes, P. G. Maropoulos

Research output: Contribution to conferencePaper

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.

Conference

ConferenceThe 8th International Conference on Digital Enterprise (DET), 2014
CountryGermany
CityStuttgart
Period25/03/1428/03/14

Fingerprint

Lasers
Distance measurement
Particle swarm optimization (PSO)
Computer aided design
Genetic algorithms
Planning
Geometry
Uncertainty

Keywords

  • Laser Tracker
  • Position
  • deployment
  • Optimization
  • Uncertainty
  • lines of sight
  • CAD

Cite this

Wang, Z., Forbes, A., & Maropoulos, P. G. (2014). Laser tracker position optimization. Paper presented at The 8th International Conference on Digital Enterprise (DET), 2014, Stuttgart, Germany.

Laser tracker position optimization. / Wang, Z; Forbes, A.; Maropoulos, P. G.

2014. Paper presented at The 8th International Conference on Digital Enterprise (DET), 2014, Stuttgart, Germany.

Research output: Contribution to conferencePaper

Wang, Z, Forbes, A & Maropoulos, PG 2014, 'Laser tracker position optimization' Paper presented at The 8th International Conference on Digital Enterprise (DET), 2014, Stuttgart, Germany, 25/03/14 - 28/03/14, .
Wang Z, Forbes A, Maropoulos PG. Laser tracker position optimization. 2014. Paper presented at The 8th International Conference on Digital Enterprise (DET), 2014, Stuttgart, Germany.
Wang, Z ; Forbes, A. ; Maropoulos, P. G. / Laser tracker position optimization. Paper presented at The 8th International Conference on Digital Enterprise (DET), 2014, Stuttgart, Germany.
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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.",
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AB - 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.

KW - Laser Tracker

KW - Position

KW - deployment

KW - Optimization

KW - Uncertainty

KW - lines of sight

KW - CAD

UR - http://www.det-2014.de

M3 - Paper

ER -