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Research on Aircraft Performance Monitoring Parameter Selection Based on Improved Window Algorithm

Authors :
QIAN Yu
WANG Lixin
LIU Yu
Source :
Hangkong gongcheng jinzhan, Vol 12, Iss 5, Pp 102-108 (2021)
Publication Year :
2021
Publisher :
Editorial Department of Advances in Aeronautical Science and Engineering, 2021.

Abstract

The suitable aircraft performance monitoring(APM)parameters selection method can realize the efficient selection of domestic civil cruising APM parameters,which can provide the reliable data basis of aircraft performance analysis and calculation.The Sage-Husa noise estimator is introduced into unscented Kalman filter(UKF),and the adaptive unscented Kalman filter(AUKF)is constructed.AUKF is used to denoise the quick access recorder(QAR)data.The stable cruise parameter screening criteria are given,and the improved sliding time window algorithm is used to realize the stable cruise parameter selecting.The algorithm is verified by the sample data of the domestic ARJ21 aircraft.The results show that the adaptive unscented Kalman filter algorithm can improve the reliability of data,and the improved sliding time window algorithm can improve the selecting efficiency by about 50%.

Details

Language :
Chinese
ISSN :
16748190
Volume :
12
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Hangkong gongcheng jinzhan
Publication Type :
Academic Journal
Accession number :
edsdoj.fcb92bee41438b8b2e40119d887569
Document Type :
article
Full Text :
https://doi.org/10.16615/j.cnki.1674-8190.2021.05.14