Title: Sensor FDI and reconfiguration in B-747 aircraft flight control system

Authors: Akan Güven; Chingiz Hajiyev

Addresses: Astro and Aeronautical Engineering Department, Faculty of Aeronautics and Astronautics, Istanbul Technical University, Istanbul, Turkey ' Astro and Aeronautical Engineering Department, Faculty of Aeronautics and Astronautics, Istanbul Technical University, Istanbul, Turkey

Abstract: Recent research pay attention to sensor fault detection, isolation (FDI) and accommodation for flight safety of both civil and military aircraft. This study purposes to have estimation results of the lateral states that are close to real values even if there are faults on the lateral sensors of the Boeing-747 aircraft via optimal linear Kalman filter (OLKF) and reconfigurable Kalman filter (RKF). Single and double sensor faults are implemented on Boeing-747 aircraft model in steady state. In nominal case, the OLKF gives fine estimation results. However, if a malfunction on the measurement channels exists, the accuracy of estimations becomes poor. Single continuous bias sensor fault and measurement noise increment double sensor faults are implemented. The fault is detected, isolated and accommodated. Accuracy of the RKF is measured by root mean square error and it is proven that the estimation results are closer to actual values and gathered firmly.

Keywords: sensor fault detection; lateral states estimation; electronic flight control systems; optimal linear Kalman filter; OLKF; reconfigured Kalman filter; state space models.

DOI: 10.1504/IJSA.2022.126572

International Journal of Sustainable Aviation, 2022 Vol.8 No.4, pp.312 - 335

Received: 21 Apr 2022
Accepted: 07 Jun 2022
Published online: 28 Oct 2022 *

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