计量学报2026，Vol.47Issue(7)：985-993,9.DOI:10.3969/j.issn.1000-1158.2026.07.06
长导轨方位角积分修正与横偏轨迹重构补偿方法
Azimuth Angle Integral Correction and Lateral Offset Trajectory Reconstruction Compensation Method for Long Guide Rails
摘要
Abstract
Conventional static,segmented measurement methods suffer from splicing errors and data drift on ultra-long guide rails,making one-shot dynamic continuous measurement infeasible.To address this issue,an error-compensation method based on azimuth-angle integration correction and lateral-offset trajectory reconstruction is proposed.First,azimuth-angle signals throughout forward and reverse traversals are acquired by a high-precision gyroscope.Second,attack-angle and sideslip-angle disturbances are separated by a continuous-integration calibration strategy,directly yielding a continuous,unspliced lateral-offset trajectory.Third,the lateral-offset curve is subjected to a fast Fourier transform,and,based on the root-mean-square error criterion,low-order harmonics with large amplitudes and high error-reduction contributions are adaptively selected.Finally,the trajectory is reconstructed using the selected sensitive harmonic components to obtain the compensated offset.Repeated experiments at speeds of 0.1～0.9m/s show that the maximum difference between forward and reverse lateral offsets is reduced by an average of 63.3%.Straightness measurements of a 75 m guide rail are found to be(0.446 2±0.002 8)mm(horizontal)and(0.438 2±0.002 5)mm(vertical),outperforming traditional autocollimator and laser-interferometry methods.These results demonstrate that high precision and high repeatability are offered by the proposed approach,providing a new technical pathway for straightness measurement of ultra-long guide rails.关键词
几何量计量/直线度测量/横偏轨迹重构/方位角积分/拼接误差/超长导轨Key words
geometric metrology/straightness measurement/lateral offset trajectory reconstruction/azimuth-angle integration/splicing errors/ultra-long guide rail分类
通用工业技术引用本文复制引用
肖扬,李建双,王华庆,黄垚,缪东晶,王庆锋..长导轨方位角积分修正与横偏轨迹重构补偿方法[J].计量学报,2026,47(7):985-993,9.基金项目
国家重点研发计划(2023YFF0612701) （2023YFF0612701）
