@inproceedings{7beab699ea9346c3a524f532e1d79e0b,
title = "Fuzzy logic based unsteady aerodynamics modeling and analysis of advanced aircraft",
abstract = "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.",
keywords = "Back substitution, Fuzzy logic, Post stall maneuver, Unsteady aerodynamic, Wind tunnel data",
author = "Yongxi Lyu and Yuyan Cao and Jingping Shi and Huakun Chen",
note = "Publisher Copyright: {\textcopyright} 2019 The authors and IOS Press. All rights reserved.; 5th International Conference on Fuzzy Systems and Data Mining, FSDM 2019 ; Conference date: 18-10-2019 Through 21-10-2019",
year = "2019",
month = oct,
day = "2",
doi = "10.3233/FAIA190239",
language = "英语",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "694--704",
editor = "Tallon-Ballesteros, {Antonio J.}",
booktitle = "Fuzzy Systems and Data Mining V - Proceedings of FSDM 2019",
}