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<p>The composite manufacturing laser inertial navigation system has a complex instrument configuration and high power consumption. It adopts a structure-circuit integrated design manufacturing method, which results in a compact structure and a small heat dissipation area, leading to inconsistent startup characteristics of the instrument in different temperature environments. Parameter modeling and compensation based on the traditional single-traverse calibration test method from low to high temperature are difficult to adapt to different temperature environmental conditions, resulting in poor compensation effects. In this study, combining practical usage conditions, a rapid calibration method for startup under different temperature insulation conditions is employed to identify instrument parameters. A system-level global modeling method based on the Gaussian Regression Process (GPR) is utilized, and the hyperparameters of the kernel function are optimized using the Grey Wolf Optimization (GWO) algorithm. Compared with GPR and polynomial fitting methods, its fitting performance and compensation effect are superior. Through precision testing of the inertial navigation system in different temperature environments, the accuracy of the gyroscope improved from 0.0084<InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="42423_2025_177_Article_IEq1.gif" Format="GIF" Height="7" Rendition="HTML" Resolution="72" Type="Linedraw" Width="9" /> </InlineMediaObject> <EquationSource Format="TEX">\(^{\circ }\)</EquationSource> <EquationSource Format="MATHML"><math> <mmultiscripts> <mrow /> <mrow /> <mo>∘</mo> </mmultiscripts> </math></EquationSource> </InlineEquation>/h to 0.0024<InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="42423_2025_177_Article_IEq1.gif" Format="GIF" Height="7" Rendition="HTML" Resolution="72" Type="Linedraw" Width="9" /> </InlineMediaObject> <EquationSource Format="TEX">\(^{\circ }\)</EquationSource> <EquationSource Format="MATHML"><math> <mmultiscripts> <mrow /> <mrow /> <mo>∘</mo> </mmultiscripts> </math></EquationSource> </InlineEquation>/h, and the accuracy of the accelerometer improved from 99.1ppm to 2.74ppm, validating the effectiveness of the temperature compensation method.</p>

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Research on Temperature Compensation of Composite Manufacturing Laser Inertial Navigation System Based on GWO-GPR

  • 期刊论文

  • 发表日期：

    2025年7月2日

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  • Xingfa Zhao,
  • Yumin Tao,
  • Wenhe Liao,
  • Zihao Wang,
  • Dongyang Zhang

摘要

The composite manufacturing laser inertial navigation system has a complex instrument configuration and high power consumption. It adopts a structure-circuit integrated design manufacturing method, which results in a compact structure and a small heat dissipation area, leading to inconsistent startup characteristics of the instrument in different temperature environments. Parameter modeling and compensation based on the traditional single-traverse calibration test method from low to high temperature are difficult to adapt to different temperature environmental conditions, resulting in poor compensation effects. In this study, combining practical usage conditions, a rapid calibration method for startup under different temperature insulation conditions is employed to identify instrument parameters. A system-level global modeling method based on the Gaussian Regression Process (GPR) is utilized, and the hyperparameters of the kernel function are optimized using the Grey Wolf Optimization (GWO) algorithm. Compared with GPR and polynomial fitting methods, its fitting performance and compensation effect are superior. Through precision testing of the inertial navigation system in different temperature environments, the accuracy of the gyroscope improved from 0.0084 \(^{\circ }\) ∘ /h to 0.0024 \(^{\circ }\) ∘ /h, and the accuracy of the accelerometer improved from 99.1ppm to 2.74ppm, validating the effectiveness of the temperature compensation method.