Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13087/1865
Title: Integrated design of fault-tolerant control for flight control systems using observer and fuzzy logic
Authors: Ünal, Gülay
Keywords: Fault detection
Fault isolation
Observer
Kalman filter
Fuzzy logic
Issue Date: 2021
Publisher: Emerald Group Publishing Ltd
Abstract: Purpose Fault detection, isolation and reconfiguration of the flight control system is an important problem to obtain healthy flight. This paper aims to propose an integrated approach for aircraft fault-tolerant control. Design/methodology/approach The integrated structure includes a Kalman filter to obtain without noise, a full order observer for sensor fault detection, a GOS (generalized observer scheme) for sensor fault isolation and a fuzzy controller to reconfigure of the healthy sensor. This combination is simulated using the state space model of a lateral flight control system in case of disturbance and under sensor fault scenario. Findings Using a dedicated observer scheme, the detection and time of sensor fault are correct, but the sensor fault isolation is evaluated incorrectly while the faulty sensor is isolated correctly using GOS. The simulation results show that the suggested approach works affectively for sensor faults with disturbance. Originality/value This paper proposes an integrated approach for aircraft fault-tolerant control. Under this framework, three units are designed, one is Kalman filter for filtering and the other is GOS for sensor fault isolation and another is fuzzy logic for reconfiguration. An integrated approach is sensitive to faults that have disturbances. The simulation results show the proposed integrated approach can be used for any linear system.
URI: https://doi.org/10.1108/AEAT-12-2020-0293
https://hdl.handle.net/20.500.13087/1865
ISSN: 1748-8842
1758-4213
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu
Tez Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu

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