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Method for Improved Performance of Fixed-Gain Self-Alignment in the Temperature Stabilizing State.

Inseop Lee1, Juhyun Oh1, Haesung Yu1

  • 1Agency for Defense Development, Yuseong P.O. Box 35, Daejeon 34186, Korea.

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|April 17, 2020
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Summary
This summary is machine-generated.

This study investigates temperature stabilizing errors in accelerometers affecting Inertial Navigation System (INS) self-alignment accuracy. A novel curve-fitting method for horizontal control rates improves INS alignment performance.

Keywords:
curve-fittinginertial navigation systemself-alignmenttemperature stabilizing error

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Area of Science:

  • Navigation Systems
  • Sensor Technology
  • Control Engineering

Background:

  • Self-alignment calculates the initial attitude of Inertial Navigation Systems (INS) using inertial sensor data.
  • INS accuracy relies heavily on inertial sensor performance, with errors degrading alignment.
  • Temperature-induced errors in accelerometers are a significant source of uncertainty.

Purpose of the Study:

  • To analyze the impact of accelerometer temperature stabilizing errors on INS self-alignment accuracy.
  • To propose a method for mitigating these errors and enhancing self-alignment performance.

Main Methods:

  • Analysis of temperature stabilizing errors in accelerometers.
  • Development of a performance improvement method using curve fitting of horizontal control rates.
  • Experimental verification of the proposed method.

Main Results:

  • Temperature stabilizing errors in accelerometers directly degrade INS self-alignment accuracy.
  • The proposed curve-fitting method effectively improves self-alignment performance.
  • Experimental results validate the efficacy of the developed technique.

Conclusions:

  • Addressing accelerometer temperature errors is crucial for accurate INS self-alignment.
  • Curve fitting horizontal control rates offers a practical solution to enhance INS performance.
  • The findings contribute to more reliable navigation systems.