Application of System Identification for Modeling the Dynamic Behavior of Axial Flow Compressor Dynamics
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 identificatio...
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | International Journal of Rotating Machinery |
| Online Access: | http://dx.doi.org/10.1155/2017/7529716 |
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| _version_ | 1832549963991613440 |
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| author | Marco P. Schoen Ji-Chao Lee |
| author_facet | Marco P. Schoen Ji-Chao Lee |
| author_sort | Marco P. Schoen |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-df00d4fb475341e2a589725ff66cbaf8 |
| institution | Kabale University |
| issn | 1023-621X 1542-3034 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Rotating Machinery |
| spelling | doaj-art-df00d4fb475341e2a589725ff66cbaf82025-02-03T06:08:11ZengWileyInternational Journal of Rotating Machinery1023-621X1542-30342017-01-01201710.1155/2017/75297167529716Application of System Identification for Modeling the Dynamic Behavior of Axial Flow Compressor DynamicsMarco P. Schoen0Ji-Chao Lee1Department of Mechanical Engineering, Idaho State University, Mail Stop 8060, Pocatello, ID 83209, USAInstitute of Engineering Thermophysics, CAS, 11 Beisihuanxi Road, Beijing 100190, ChinaIdentification 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.http://dx.doi.org/10.1155/2017/7529716 |
| spellingShingle | Marco P. Schoen Ji-Chao Lee Application of System Identification for Modeling the Dynamic Behavior of Axial Flow Compressor Dynamics International Journal of Rotating Machinery |
| title | Application of System Identification for Modeling the Dynamic Behavior of Axial Flow Compressor Dynamics |
| title_full | Application of System Identification for Modeling the Dynamic Behavior of Axial Flow Compressor Dynamics |
| title_fullStr | Application of System Identification for Modeling the Dynamic Behavior of Axial Flow Compressor Dynamics |
| title_full_unstemmed | Application of System Identification for Modeling the Dynamic Behavior of Axial Flow Compressor Dynamics |
| title_short | Application of System Identification for Modeling the Dynamic Behavior of Axial Flow Compressor Dynamics |
| title_sort | application of system identification for modeling the dynamic behavior of axial flow compressor dynamics |
| url | http://dx.doi.org/10.1155/2017/7529716 |
| work_keys_str_mv | AT marcopschoen applicationofsystemidentificationformodelingthedynamicbehaviorofaxialflowcompressordynamics AT jichaolee applicationofsystemidentificationformodelingthedynamicbehaviorofaxialflowcompressordynamics |