用于飞机模型参数辨识的飞行数据处理方法研究  

Research on Flight Data Processing Method Applied to Parameters Identification of Aircraft Model

作　　者：叶子豪 张晓敏[2] 刘亚飞 董朝阳[1] Ye Zihao;Zhang Xiaomin;Liu Yafei;Dong Chaoyang(Beihang University,Beijing 100191,China;AVIC Aviation Science and Technology Key Laboratort of Flight Simulation,Chinese Flight Test Establishment,Xi’an 710089,China)

机构地区：[1]北京航空航天大学,北京100191 [2]中国飞行试验研究院航空工业飞行仿真航空科技重点实验室,陕西西安710089

出　　处：《航空科学技术》2022年第8期78-87,共10页Aeronautical Science & Technology

基　　金：航空科学基金(201913051001,2018ZA51003)。

摘　　要：飞行过程中产生的飞行器监测数据,对飞行器性能的优化与飞行器控制系统的设计有着重要的指导意义。然而飞行试验环境的复杂性与多变性将导致飞行数据中包含较多异常数据,严重影响数据质量。本文研究飞行数据中异常数据的辨识与补偿方法及其在飞行器模型参数辨识中的应用。结合数据相容性检验,提出了一套从野值的识别、剔除与补正、数据的平滑滤波到基于极大似然法的时间延迟、零位误差与比例误差的辨识与补偿的飞行数据处理方法。除此之外,本文对结合常值误差补偿的飞行器模型参数组合辨识方法及其应用进行了设计。应用实例表明,该方法能够在一定条件下实现具有较高精度与速度的飞行数据中异常数据的辨识与补偿,并验证了该方法在改善飞行器模型参数辨识过程与结果精度上的有效性。The aircraft monitoring data generated during the flight has important guiding significance for the optimization of the aircraft performance and the design of the aircraft control system.However,the complexity and variability of the flight test environment will result in more abnormal data in the flight data,which seriously affects the data quality.This paper studies the identification and compensation method of abnormal data in flight data and its application in the identification of aircraft model parameters.Combined with the data compatibility test,this paper proposes a set of flight data processing method from the identification,elimination and correction of outliers,data smoothing and filtering to the identification and compensation of time delay,zero error and proportional error based on the maximum likelihood method.In addition,this paper designs the combination identification method and its application of aircraft model parameters combined with constant error compensation.Application examples show that this method can realize the identification and compensation of abnormal data in flight data with high accuracy and speed under certain conditions and also verifies the effectiveness of the method in this paper in improving the process of aircraft model parameter identification and the accuracy of the results.

关 键 词：相容性检验 时间延迟修正 极大似然法 飞行数据处理 模型参数辨识 

分 类 号：V212.1[航空宇航科学与技术—航空宇航推进理论与工程]