Identification of a Stochastic Dynamic Model for Aircraft Flight Attitude Based on Measured Data

Stochastic disturbances are everywhere. The influence of stochastic factors on the modeling and simulation of aircraft flight dynamics should be considered. Therefore, a stochastic differential equation for aircraft flight attitude is modeled based on the traditional one in this paper. After that, a...

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Main Authors: Haiquan Li, Xiaoqian Chen, Jiatu Zhang, Bochen Wang, Jiahui Peng, Liang Wang
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2023/5429395
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author Haiquan Li
Xiaoqian Chen
Jiatu Zhang
Bochen Wang
Jiahui Peng
Liang Wang
author_facet Haiquan Li
Xiaoqian Chen
Jiatu Zhang
Bochen Wang
Jiahui Peng
Liang Wang
author_sort Haiquan Li
collection DOAJ
description Stochastic disturbances are everywhere. The influence of stochastic factors on the modeling and simulation of aircraft flight dynamics should be considered. Therefore, a stochastic differential equation for aircraft flight attitude is modeled based on the traditional one in this paper. After that, an identification method based on the idea of sparse recognition for unknown parameters and stochastic disturbance is proposed. Finally, a set of measured flight data is used to verify that the identified stochastic model has obvious advantages over the traditional deterministic model when the aircraft is maneuvering in flight. This method can improve the accuracy and reliability of the aircraft flight dynamic model.
format Article
id doaj-art-2878547fdde44284938cdb36d03271fd
institution Kabale University
issn 1687-5974
language English
publishDate 2023-01-01
publisher Wiley
record_format Article
series International Journal of Aerospace Engineering
spelling doaj-art-2878547fdde44284938cdb36d03271fd2025-02-03T06:43:09ZengWileyInternational Journal of Aerospace Engineering1687-59742023-01-01202310.1155/2023/5429395Identification of a Stochastic Dynamic Model for Aircraft Flight Attitude Based on Measured DataHaiquan Li0Xiaoqian Chen1Jiatu Zhang2Bochen Wang3Jiahui Peng4Liang Wang5College of Aerospace Science and EngineeringNational Innovation Institute of Defense TechnologyDepartment of Applied Probability and StatisticsDepartment of Applied Probability and StatisticsDepartment of Applied Probability and StatisticsDepartment of Applied Probability and StatisticsStochastic disturbances are everywhere. The influence of stochastic factors on the modeling and simulation of aircraft flight dynamics should be considered. Therefore, a stochastic differential equation for aircraft flight attitude is modeled based on the traditional one in this paper. After that, an identification method based on the idea of sparse recognition for unknown parameters and stochastic disturbance is proposed. Finally, a set of measured flight data is used to verify that the identified stochastic model has obvious advantages over the traditional deterministic model when the aircraft is maneuvering in flight. This method can improve the accuracy and reliability of the aircraft flight dynamic model.http://dx.doi.org/10.1155/2023/5429395
spellingShingle Haiquan Li
Xiaoqian Chen
Jiatu Zhang
Bochen Wang
Jiahui Peng
Liang Wang
Identification of a Stochastic Dynamic Model for Aircraft Flight Attitude Based on Measured Data
International Journal of Aerospace Engineering
title Identification of a Stochastic Dynamic Model for Aircraft Flight Attitude Based on Measured Data
title_full Identification of a Stochastic Dynamic Model for Aircraft Flight Attitude Based on Measured Data
title_fullStr Identification of a Stochastic Dynamic Model for Aircraft Flight Attitude Based on Measured Data
title_full_unstemmed Identification of a Stochastic Dynamic Model for Aircraft Flight Attitude Based on Measured Data
title_short Identification of a Stochastic Dynamic Model for Aircraft Flight Attitude Based on Measured Data
title_sort identification of a stochastic dynamic model for aircraft flight attitude based on measured data
url http://dx.doi.org/10.1155/2023/5429395
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AT xiaoqianchen identificationofastochasticdynamicmodelforaircraftflightattitudebasedonmeasureddata
AT jiatuzhang identificationofastochasticdynamicmodelforaircraftflightattitudebasedonmeasureddata
AT bochenwang identificationofastochasticdynamicmodelforaircraftflightattitudebasedonmeasureddata
AT jiahuipeng identificationofastochasticdynamicmodelforaircraftflightattitudebasedonmeasureddata
AT liangwang identificationofastochasticdynamicmodelforaircraftflightattitudebasedonmeasureddata