To address the challenges posed by environmental factors such as temperature,humidity,air turbulence,station transfer,and line-of-sight obstructions in pose measurement systems like laser-based,iGPS,and visual imagery methods,a novel measurement field employing draw-wire displacement sensors was developed for detecting the relative pose of large aircraft components.The relative positions and orien-tations of these components were calculated using a back propagation BP neural network-Newton iteration method.By strategically arranging six sets of draw-wire displacement sensors along the docking surfaces of the aircraft components,a theoretical model for pose determination was established.The pose was sub-sequently resolved through the neural network-Newton algorithm.Numerical simulations demonstrate that the maximum position error is 4.9×10⁻⁷ mm,and the maximum attitude angle error is 1.97×10⁻⁹°.Comparative analyses between error simulations and experimental results confirmed the feasibility and pre-cision of this approach.The findings indicate that the proposed method remains robust against external en-vironmental disturbances and enables highly accurate detection of the relative pose of large components.
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