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Combing Instrumental Variable and Variance Matching for Aircraft Flutter Model Parameters Identification
Joint Authors
Ramírez Mendoza, Ricardo A.
Jianwang, Hong
Lozoya-Santos, Jorge de J.
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-10-21
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
When the observed input-output data are corrupted by the observed noises in the aircraft flutter stochastic model, we need to obtain the more exact aircraft flutter model parameters to predict the flutter boundary accuracy and assure flight safety.
So, here we combine the instrumental variable method in system identification theory and variance matching in modern spectrum theory to propose a new identification strategy: instrumental variable variance method.
In the aircraft flutter stochastic model, after introducing instrumental variable to develop a covariance function, a new criterion function, composed by a difference between the theory value and actual estimation value of the covariance function, is established.
Now, the new criterion function based on the covariance function can be used to identify the unknown parameter vector in the transfer function form.
Finally, we apply this new instrumental variable variance method to identify the transfer function in one electrical current loop of flight simulator and aircraft flutter model parameters.
Several simulation experiments have been performed to demonstrate the effectiveness of the algorithm proposed in this paper.
American Psychological Association (APA)
Jianwang, Hong& Ramírez Mendoza, Ricardo A.& Lozoya-Santos, Jorge de J.. 2019. Combing Instrumental Variable and Variance Matching for Aircraft Flutter Model Parameters Identification. Shock and Vibration،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1211224
Modern Language Association (MLA)
Jianwang, Hong…[et al.]. Combing Instrumental Variable and Variance Matching for Aircraft Flutter Model Parameters Identification. Shock and Vibration No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1211224
American Medical Association (AMA)
Jianwang, Hong& Ramírez Mendoza, Ricardo A.& Lozoya-Santos, Jorge de J.. Combing Instrumental Variable and Variance Matching for Aircraft Flutter Model Parameters Identification. Shock and Vibration. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1211224
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1211224