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- Publisher Website: 10.1016/j.conengprac.2016.01.012
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Article: Nonlinear aircraft sensor fault reconstruction in the presence of disturbances validated by real flight data
Title | Nonlinear aircraft sensor fault reconstruction in the presence of disturbances validated by real flight data |
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Authors | |
Keywords | Fault reconstruction Aircraft sensor faults Adaptive two-stage extended Kalman filter Real flight test data Disturbances Wind shear Turbulence |
Issue Date | 2016 |
Citation | Control Engineering Practice, 2016, v. 49, p. 112-128 How to Cite? |
Abstract | © 2016 Elsevier Ltd. This paper proposes an approach for Inertial Measurement Unit sensor fault reconstruction by exploiting a ground speed-based kinematic model of the aircraft flying in a rotating earth reference system. Two strategies for the validation of sensor fault reconstruction are presented: closed-loop validation and open-loop validation. Both strategies use the same kinematic model and a newly-developed Adaptive Two-Stage Extended Kalman Filter to estimate the states and faults of the aircraft. Simulation results demonstrate the effectiveness of the proposed approach compared to an approach using an airspeed-based kinematic model. Furthermore, the major contribution is that the proposed approach is validated using real flight test data including the presence of external disturbances such as turbulence. Three flight scenarios are selected to test the performance of the proposed approach. It is shown that the proposed approach is robust to model uncertainties, unmodeled dynamics and disturbances such as time-varying wind and turbulence. Therefore, the proposed approach can be incorporated into aircraft Fault Detection and Isolation systems to enhance the performance of the aircraft. |
Persistent Identifier | http://hdl.handle.net/10722/288702 |
ISSN | 2023 Impact Factor: 5.4 2023 SCImago Journal Rankings: 1.576 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Lu, Peng | - |
dc.contributor.author | van Kampen, Erik Jan | - |
dc.contributor.author | de Visser, Cornelis | - |
dc.contributor.author | Chu, Qiping | - |
dc.date.accessioned | 2020-10-12T08:05:39Z | - |
dc.date.available | 2020-10-12T08:05:39Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Control Engineering Practice, 2016, v. 49, p. 112-128 | - |
dc.identifier.issn | 0967-0661 | - |
dc.identifier.uri | http://hdl.handle.net/10722/288702 | - |
dc.description.abstract | © 2016 Elsevier Ltd. This paper proposes an approach for Inertial Measurement Unit sensor fault reconstruction by exploiting a ground speed-based kinematic model of the aircraft flying in a rotating earth reference system. Two strategies for the validation of sensor fault reconstruction are presented: closed-loop validation and open-loop validation. Both strategies use the same kinematic model and a newly-developed Adaptive Two-Stage Extended Kalman Filter to estimate the states and faults of the aircraft. Simulation results demonstrate the effectiveness of the proposed approach compared to an approach using an airspeed-based kinematic model. Furthermore, the major contribution is that the proposed approach is validated using real flight test data including the presence of external disturbances such as turbulence. Three flight scenarios are selected to test the performance of the proposed approach. It is shown that the proposed approach is robust to model uncertainties, unmodeled dynamics and disturbances such as time-varying wind and turbulence. Therefore, the proposed approach can be incorporated into aircraft Fault Detection and Isolation systems to enhance the performance of the aircraft. | - |
dc.language | eng | - |
dc.relation.ispartof | Control Engineering Practice | - |
dc.subject | Fault reconstruction | - |
dc.subject | Aircraft sensor faults | - |
dc.subject | Adaptive two-stage extended Kalman filter | - |
dc.subject | Real flight test data | - |
dc.subject | Disturbances | - |
dc.subject | Wind shear | - |
dc.subject | Turbulence | - |
dc.title | Nonlinear aircraft sensor fault reconstruction in the presence of disturbances validated by real flight data | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.conengprac.2016.01.012 | - |
dc.identifier.scopus | eid_2-s2.0-84969351896 | - |
dc.identifier.volume | 49 | - |
dc.identifier.spage | 112 | - |
dc.identifier.epage | 128 | - |
dc.identifier.isi | WOS:000372385400009 | - |
dc.identifier.issnl | 0967-0661 | - |