中国民航大学学报 ›› 2021, Vol. 39 ›› Issue (5): 22-27.

• 民用航空 • 上一篇    下一篇

改进蝴蝶优化算法在 QAR 数据重构中的应用

张 鹏  ,刘赟跃  ,段照斌    

  1. (中国民航大学 . 适航学院;. 电子信息与自动化学院;. 工程技术训练中心,天津 300300)
  • 收稿日期:2021-02-15 修回日期:2021-02-15 接受日期:2020-11-30 出版日期:2021-10-20 发布日期:2021-10-31
  • 作者简介:张鹏(1963—),男,北京人,教授,硕士,研究方向为飞机智能故障诊断。

Application of improved butterfly optimization algorithm in QAR data reconstruction

ZHANG Peng , LIU Y unyue ,DUAN Zhaobin   

  1. (a. College of Airworthiness; b. College of Electronic Information and Automation; c. Engineering Techniques Training Center, CAUC, Tianjin 300300, China)
  • Received:2021-02-15 Revised:2021-02-15 Accepted:2020-11-30 Online:2021-10-20 Published:2021-10-31

摘要:

针对快速存取记录器(QARquick access recorder)数据中因测量传感器存在系统误差而导致QAR 数据不满足数据相容性的问题,采用蝴蝶优化算法及最小二乘准则将系统误差的参数估计问题转换为解空间上的函数优化问题。为提高蝴蝶优化算法的性能,利用混沌映射对种群进行初始化,动态调整转换概率对算法进行改进,将该方法应用于飞行姿态角及角速度 QAR 数据的修正及重构中。实验结果表明,该方法简单可行,数据重构精度较高,满足数据相容性要求。

关键词: 数据重构(QAR, quick access recorder)数据, 蝴蝶优化算法, 数据相容性, 参数估计, 最小二乘准则

Abstract: Aiming at the problem that quick access recorder (QAR) data do not satisfy the data compatibility due to the systematical error of the measurement sensor, this paper transforms the parameter estimation problem of the systematical error into the function optimization problem on the solution space with butterfly optimization algorithm and the least squares criterion. In order to improve the performance of butterfly optimization algorithm, chaotic mapping is used to initialize the population and dynamically adjust the conversion probability. This method is applied to the correction and reconstruction of flight attitude angle and angular velocity of QAR data. The experimental results show that this method is simple and feasible, with high data reconstruction accuracy, and meets the requirements of data compatibility.

Key words: data reconstruction, quick access recorder(QAR) data, butterfly optimization algorithm, data compatibility; parameter estimation, least squares criterion

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