双重未知干扰解耦的多传感器系统偏差校正与状态估计

Xiaoxue Feng, Shuhui Li*, Feng Pan

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

Stochastic system state estimate subjects to the unknown interference input widely exists in many fields, such as control, communication, signal processing, and fault diagnosis. However, the current research is mostly limited to the single sensor dynamic discrete system. This paper examines the state estimate of multi-sensors system in which the state equation contains the unknown interference and the measurement equation contains the unknown bias, proposing a dual interference decoupled minimum variance unbiased estimator. Firstly, the general evolution model of measurement bias is established. Then, the unknown input is decoupled from the measurement bias evolution model. After that, the estimated measurement bias is utilized to compensate the dynamic system measurement. Finally, the optimal state observer is designed based on the compensated system measurement model, and the state estimate with minimum variance is obtained. Simulation results of the radial flight controller verified the effectiveness of the proposed method. Comparing with simulated results of the relative methods, the proposed algorithm shows its superiority.

投稿的翻译标题Dual unknown interference decoupled multi-sensors bias compensation and state estimate
源语言繁体中文
文章编号322845
期刊Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica
40
7
DOI
出版状态已出版 - 25 7月 2019

关键词

  • Multi-sensors system
  • Optimal state observer
  • State estimate
  • Unbiased minimum variance estimate
  • Unknown interference decoupling

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引用此

Feng, X., Li, S., & Pan, F. (2019). 双重未知干扰解耦的多传感器系统偏差校正与状态估计. Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 40(7), 文章 322845. https://doi.org/10.7527/S1000-6893.2019.22845