Model establishment and error compensation of laser tracker station-transfer

Hui, 李辉 Li; Wei, 刘巍 Liu; Yang, 张洋 Zhang; Ren-wei, 张仁伟 Zhang; Zhi-long, 周志龙 Zhou; Zhen-yuan, 贾振元 Jia

doi:10.3788/ope.20192704.0771

Cited by 7 publications

(1 citation statement)

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“…This method firstly analyzed the sources of angle errors, then adopted the generatrix and composite sampling methods to suppress the random errors in the calibration process according to different frequency bands, and finally verified the feasibility of measurement error correction of the laser tracker. Besides, an error compensation model of the laser tracker station-transfer was established, which is similarly related to the random and systematic measurement errors [20]. A discrete calibration method for the angle measurement errors in the laser tracker was proposed based on an autocollimator combined with a multi-mirror polyhedron [21].…”

Section: Introductionmentioning

confidence: 99%

Fixing positions and orientations of laser trackers during bundle adjustment in multi-station measurements

Wang¹,

Luo²,

Wang³

et al. 2020

Meas. Sci. Technol.

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The accumulated errors in multi-station measurements make it challenging to meet higher precision requirements for annular or straight tunnel measurements in the accelerator alignment field. In this paper, a study on fixing positions and orientations of laser trackers during the bundle adjustment is presented. First, we adopt the mixed least squares-total least squares algorithm to calculate the spatial-transformation parameters. Then, according to the principle of bundle adjustment based on laser trackers, we design four schemes and compare them to determine which scheme results in the highest precision. Experimental results show that fixing each station’s position and orientation can considerably decrease the absolute point errors from 0.130 to 0.069 mm within 15 m × 10 m × 3 m, and fixing stations’ orientations is better than fixing their positions. This research can derive high-precision schemes that effectively reduce accumulated errors in annular or straight tunnel measurements, and it can apply to other robotic sensors as well.

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Section: Introductionmentioning

confidence: 99%