Application of System Identification for Modeling the Dynamic Behavior of Axial Flow Compressor Dynamics
Joint Authors
Source
International Journal of Rotating Machinery
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-07
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Identification of a one-stage axial compressor system is addressed.
In particular, we investigate the underlying dynamics of tip air injection and throttle activation to the overall compressor dynamics and the dynamics around the tip of the compressor blades.
A proposed subspace system identification algorithm is used to extract three mathematical models: relating the tip air injection to the overall dynamics of the compressor and to the flow dynamics at the tip of the compressor blade and relating the movement of the throttle to the overall compressor dynamics.
As the system identification relays on experimental data, concerns about the noise level and unmodeled system dynamics are addressed by experimenting with two model structures.
The identification algorithm entails a heuristic optimization that allows for inspection of the results with respect to unmodeled system dynamics.
The results of the proposed system identification algorithm show that the assumed model structure for the system identification algorithm takes on an important role in defining the coupling characteristics.
A new measure for the flow state in the blade passage is proposed and used in characterizing the dynamics at the tip of the compressor blade, which allows for the inspection of the limits for the utilized actuation.
American Psychological Association (APA)
Schoen, Marco P.& Lee, Ji-Chao. 2017. Application of System Identification for Modeling the Dynamic Behavior of Axial Flow Compressor Dynamics. International Journal of Rotating Machinery،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1169601
Modern Language Association (MLA)
Schoen, Marco P.& Lee, Ji-Chao. Application of System Identification for Modeling the Dynamic Behavior of Axial Flow Compressor Dynamics. International Journal of Rotating Machinery No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1169601
American Medical Association (AMA)
Schoen, Marco P.& Lee, Ji-Chao. Application of System Identification for Modeling the Dynamic Behavior of Axial Flow Compressor Dynamics. International Journal of Rotating Machinery. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1169601
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169601