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Study on Identification Method for Parameter Uncertainty Model of Aero Engine
Joint Authors
Source
International Journal of Aerospace Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-02
Country of Publication
Egypt
No. of Pages
9
Abstract EN
The linear model of an aero engine is effective in a small range of the neighborhood of equilibrium points.
According to this problem, the identification method for the parameter uncertain linear model of the aero engine was proposed.
The identification problem is solved by calculating nonlinear programming.
Considering the parameter uncertainty of the model is the critical point of this research during the optimization process.
A parameter uncertain model of an aero engine can be obtained, which has large use range.
This method is used for DGEN380 aero engine.
The two parameters, VDD and VE, are defined for describing error range.
Compared with experimental data, the uncertain model of DGEN 380 can simulate the real state of DGEN380 within 1% error range when ΔPLA<22%.
Compared with another conventional method of identification (recursive least squares), the parameter uncertain model, established by the method of this research, has a broad application area through parameter uncertainty of the model.
American Psychological Association (APA)
Bai, Jie& Liu, Shuai& Wang, Wei. 2019. Study on Identification Method for Parameter Uncertainty Model of Aero Engine. International Journal of Aerospace Engineering،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1156737
Modern Language Association (MLA)
Bai, Jie…[et al.]. Study on Identification Method for Parameter Uncertainty Model of Aero Engine. International Journal of Aerospace Engineering No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1156737
American Medical Association (AMA)
Bai, Jie& Liu, Shuai& Wang, Wei. Study on Identification Method for Parameter Uncertainty Model of Aero Engine. International Journal of Aerospace Engineering. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1156737
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1156737