Flight data validation of an icing accretion estimation scheme using super-twisting observers

卷:155

Article

关键词: PARAMETER-IDENTIFICATION;    SYSTEMS APPLICATIONS;    INFLIGHT DETECTION;    NONLINEAR-SYSTEMS;    LIFT;   

DOI  :  10.1016/j.automatica.2023.111119

来源: SCIE

【 摘 要 】

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. (c) 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/).

【 授权许可】

Free