Reconstruction of Flight Test Data Based on Maximum Likelihood Method

Aiming at the kinematic inconsistency problem of flight test data, this paper completes the reconstruction of simulated flight test data based on the maximum likelihood estimation method. Firstly, the reconstruction problem of flight test data is transformed into a dynamical system parameter estimation problem with respect to the constant value deviation in the flight test data. Secondly, the identification of constant value deviation is completed by using the great likelihood algorithm. Finally, the reconstruction of the flight test data is carried out. The simulation results show that the kinematic consistency of the reconstructed flight test data is significantly improved.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1145/3727993.3728049
Primary Topic
Aerospace and Aviation Technology
Type
article
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article

Reconstruction of Flight Test Data Based on Maximum Likelihood Method

Jin Xie, M. He, Ruihan Luo
Aerospace and Aviation Technology
article

Reconstruction of Flight Test Data Based on Maximum Likelihood Method

Jin Xie, M. He, Ruihan Luo
article en

Abstract

Aiming at the kinematic inconsistency problem of flight test data, this paper completes the reconstruction of simulated flight test data based on the maximum likelihood estimation method. Firstly, the reconstruction problem of flight test data is transformed into a dynamical system parameter estimation problem with respect to the constant value deviation in the flight test data. Secondly, the identification of constant value deviation is completed by using the great likelihood algorithm. Finally, the reconstruction of the flight test data is carried out. The simulation results show that the kinematic consistency of the reconstructed flight test data is significantly improved.

Systems Engineering Society of China (CN)
Openalex Percentile: Top 51%
Aerospace and Aviation Technology
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