Chen, Lejun;
Whidborne, James;
(2023)
Flight Data Validation of an Icing Accretion Estimation Scheme using Super-twisting Observers.
Automatica
, 155
(111119)
10.1016/j.automatica.2023.111119.
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Abstract
This paper develops a generalised multivariable super-twisting observer for a class of nonlinear systems in which the unmeasured variables linked to the known state dependent matrix function appear multiplicatively. A sufficient condition is given to guarantee that the reconstruction errors associated with the unmeasurable variables converge to zero in finite time. This approach is then used to address the aircraft icing accretion estimation problem despite unreliable sensor measurement. The efficacy of the approach has been evaluated via real flight data recorded under natural icing conditions. Results show that the observer has the capability to estimate the change of the drag coefficient induced by icing accretion and to reconstruct the unreliable pitch rate sensor measurement simultaneously.
| Type: | Article |
|---|---|
| Title: | Flight Data Validation of an Icing Accretion Estimation Scheme using Super-twisting Observers |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.automatica.2023.111119 |
| Publisher version: | https://doi.org/10.1016/j.automatica.2023.111119 |
| Language: | English |
| Additional information: | © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Sliding mode observer, fault estimation, icing accretion. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10167675 |
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