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On extended state Kalman filter-based identification algorithm for aerodynamic parameters

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Abstract

In this paper, the problem of time-varying aerodynamic parameters identification under measurement noises is studied. By analyzing the key aerodynamic parameters that affect the aircraft control system, a system model with extended states for identifying equivalent aerodynamic parameters is established, and error parameters are extended to the system state, avoiding the difficulty caused by the unknown dynamic in the system. Furthermore, an identification algorithm based on extended state Kalman filter is designed, and it is proved that the algorithm has quasi-consistency, thus, the estimation error can be evaluated in real time. Finally, the simulation results under typical flight scenarios show that the designed algorithm can accurately identify aerodynamic parameters, and has desired convergence speed and convergence precision.

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Authors and Affiliations

  1. Beijing Aerospace Automatic Control Institute, Beijing, 100854, China

    Wenyan Bai

  2. School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 100083, China

    Ruizhe Jia & Peng Yu

  3. Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, Beijing, 100083, China

    Ruizhe Jia & Peng Yu

  4. Key Laboratory of Systems and Control, Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China

    Wenchao Xue

Authors
  1. Wenyan Bai
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  2. Ruizhe Jia
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  3. Peng Yu
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  4. Wenchao Xue
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Correspondence to Wenchao Xue.

Additional information

This work was supported by the National Natural Science Foundation of China (No. 62122083) and Youth Innovation Promotion Association, CAS.

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Bai, W., Jia, R., Yu, P. et al. On extended state Kalman filter-based identification algorithm for aerodynamic parameters. Control Theory Technol. 22, 235–243 (2024). https://doi.org/10.1007/s11768-023-00192-5

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  • DOI: https://doi.org/10.1007/s11768-023-00192-5

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