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Adaptive transfer alignment method based on the observability analysis for airborne pod strapdown inertial navigation

Weina Chen1, Zhong Yang2, Shanshan Gu3

  • 1College of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing, China. jk_cwn@126.com.

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This study introduces an adaptive transfer alignment method using observability analysis for airborne pods. This approach enhances navigation accuracy by addressing weak observability state variables in strapdown inertial navigation systems.

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Area of Science:

  • Aerospace Engineering
  • Navigation Systems
  • Control Theory

Background:

  • Airborne pod strapdown inertial navigation systems require rapid and accurate transfer alignment from the host aircraft's system.
  • Maintaining navigation accuracy for airborne pods during flight is a critical operational requirement.

Purpose of the Study:

  • To propose an adaptive transfer alignment method for strapdown inertial navigation systems (SINS) based on observability analysis.
  • To enhance the navigation accuracy of airborne pods by improving transfer alignment performance.

Main Methods:

  • Conducting observability analysis on system state variables to determine their observability weights.
  • Developing a transfer alignment filter algorithm with an adaptive adjustment factor based on observability.
  • Reducing the impact of weakly observable state variables on the overall filter estimation.

Main Results:

  • The proposed adaptive method effectively mitigates issues arising from weakly observable state variables.
  • Significant improvements in transfer alignment accuracy were demonstrated through simulations and experimental tests.
  • Enhanced navigation performance and adaptability of the airborne pod were observed.

Conclusions:

  • The adaptive transfer alignment method based on observability analysis is effective for airborne SINS.
  • This approach successfully improves alignment and navigation performance in practical applications.
  • The method enhances the overall adaptability of airborne pods to varying operational conditions.