Online Identification of Aerodynamic Parameters of Experimental Rockets Based on Unscented Kalman Filtering

Online identification of aerodynamic parameters of experimental rockets was completed based on unscented Kalman filtering (UKF). Numerical simulation, hardware-in-the-loop (HIL) simulation, and flight tests were conducted. The identification error of aerodynamic force in numerical simulation and HIL...

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Main Authors: Xiaobin Tang, Zhenyu Jiang
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2024/4541120
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author Xiaobin Tang
Zhenyu Jiang
author_facet Xiaobin Tang
Zhenyu Jiang
author_sort Xiaobin Tang
collection DOAJ
description Online identification of aerodynamic parameters of experimental rockets was completed based on unscented Kalman filtering (UKF). Numerical simulation, hardware-in-the-loop (HIL) simulation, and flight tests were conducted. The identification error of aerodynamic force in numerical simulation and HIL simulation is within 2%. For flight test data, trajectory reconstruction was performed using the identified aerodynamic forces, and the results showed that the identification results were more accurate than the interpolation table calculation results. The flight test identification results show that the identification method can complete parameter online identification under the conditions of limited performance of onboard computers, real sensor errors, and servo response. The approximate linear correlation between α and δe and the reason for their formation from the moment balance were analyzed. It was pointed out that when the recognition sampling period is long, this phenomenon will affect the identification of parameters, and a solution is proposed.
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series International Journal of Aerospace Engineering
spelling doaj-art-8bffbe3540e44e59b08991ea513f98492025-08-20T02:09:13ZengWileyInternational Journal of Aerospace Engineering1687-59742024-01-01202410.1155/2024/4541120Online Identification of Aerodynamic Parameters of Experimental Rockets Based on Unscented Kalman FilteringXiaobin Tang0Zhenyu Jiang1College of Aerospace Science and EngineeringCollege of Aerospace Science and EngineeringOnline identification of aerodynamic parameters of experimental rockets was completed based on unscented Kalman filtering (UKF). Numerical simulation, hardware-in-the-loop (HIL) simulation, and flight tests were conducted. The identification error of aerodynamic force in numerical simulation and HIL simulation is within 2%. For flight test data, trajectory reconstruction was performed using the identified aerodynamic forces, and the results showed that the identification results were more accurate than the interpolation table calculation results. The flight test identification results show that the identification method can complete parameter online identification under the conditions of limited performance of onboard computers, real sensor errors, and servo response. The approximate linear correlation between α and δe and the reason for their formation from the moment balance were analyzed. It was pointed out that when the recognition sampling period is long, this phenomenon will affect the identification of parameters, and a solution is proposed.http://dx.doi.org/10.1155/2024/4541120
spellingShingle Xiaobin Tang
Zhenyu Jiang
Online Identification of Aerodynamic Parameters of Experimental Rockets Based on Unscented Kalman Filtering
International Journal of Aerospace Engineering
title Online Identification of Aerodynamic Parameters of Experimental Rockets Based on Unscented Kalman Filtering
title_full Online Identification of Aerodynamic Parameters of Experimental Rockets Based on Unscented Kalman Filtering
title_fullStr Online Identification of Aerodynamic Parameters of Experimental Rockets Based on Unscented Kalman Filtering
title_full_unstemmed Online Identification of Aerodynamic Parameters of Experimental Rockets Based on Unscented Kalman Filtering
title_short Online Identification of Aerodynamic Parameters of Experimental Rockets Based on Unscented Kalman Filtering
title_sort online identification of aerodynamic parameters of experimental rockets based on unscented kalman filtering
url http://dx.doi.org/10.1155/2024/4541120
work_keys_str_mv AT xiaobintang onlineidentificationofaerodynamicparametersofexperimentalrocketsbasedonunscentedkalmanfiltering
AT zhenyujiang onlineidentificationofaerodynamicparametersofexperimentalrocketsbasedonunscentedkalmanfiltering