Fuzzy logic based unsteady aerodynamics modeling and analysis of advanced aircraft

Yongxi Lyu, Yuyan Cao, Jingping Shi, Huakun Chen

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

In this paper, an accurate unsteady aerodynamic model of advanced aircraft flying at high angle of attack is established based on the fuzzy logic method. Firstly, on the basis of processing wind tunnel test data, the unsteady aerodynamic characteristics under large single-axis oscillation are compared and analyzed, and the key factors affecting the unsteady aerodynamic modeling are extracted. Secondly, the membership function, internal function, fuzzy rules, model input and output of the fuzzy logic model are determined. Finally, based on the idea of back substitution method, the parameters obtained by Newton gradient iteration method are treated as the initial values of the parameters for the next structural identification, thus the improved model structure and parameters are proposed. The identification algorithm determines the structure of the model while constantly seeking the parameters of the model in view of the accuracy requirement of the model. The simulation results show that the unsteady aerodynamic modeling method proposed in this paper has strong applicability and high modeling accuracy.

源语言英语
主期刊名Fuzzy Systems and Data Mining V - Proceedings of FSDM 2019
编辑Antonio J. Tallon-Ballesteros
出版商IOS Press BV
694-704
页数11
ISBN(电子版)9781643680187
DOI
出版状态已出版 - 2 10月 2019
活动5th International Conference on Fuzzy Systems and Data Mining, FSDM 2019 - Kitakyushu, 日本
期限: 18 10月 201921 10月 2019

出版系列

姓名Frontiers in Artificial Intelligence and Applications
320
ISSN(印刷版)0922-6389
ISSN(电子版)1879-8314

会议

会议5th International Conference on Fuzzy Systems and Data Mining, FSDM 2019
国家/地区日本
Kitakyushu
时期18/10/1921/10/19

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