Adaptive neuro-fussy based control surface fault detection and reconfiguration

Savanur, SR and Kashyap, SK and Raol, JR (2008) Adaptive neuro-fussy based control surface fault detection and reconfiguration. In: Proceedings of the International Conference on Aerospace Science and Technology (INCAST 2008-027), 26-28 Jun 2008, Bangalore, India.

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The aircraft becomes unstable due to fault in actuator or if there is a loss of control surface13; effectiveness due to damaged or blown surfaces. One of the popular methods to detect and reconfigure13; the surface fault is model based approach e.g. Extended Kalman filter (EKF). Using EKF, the parameters13; of control distribution matrix are estimated as augmented states of the system which are subsequently13; used to compute feedback gain to reconfigure the impaired system In this paper, detection and13; reconfiguration of surface fault in elevator of an aircraft is demonstrated using Adaptive Neuro - Fuzzy13; Inference System ANFIS . Under this approach, i) ANFIS is trained using time history of i/o data i.e.13; inputs as errors between nominal (healthy) states of aircraft and its faulty states (noise free) for different13; fault conditions and output as parameters of control distribution matrix and ii) trained ANFIS is13; subsequently used to estimate the parameters of control distribution matrix for the actual fault condition13; and the reconfiguration is carried out by computing new feedback gain using pseudo-inverse technique.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Copyright for this article belongs to National Aerospace Laboratories
Uncontrolled Keywords: Adaptive neuro-fuzzy inference system (ANFIS);Extended kalman filter (EKF)
Subjects: AERONAUTICS > Aeronautics (General)
Depositing User: Ms. Alphones Mary
Date Deposited: 26 Feb 2009
Last Modified: 17 Jun 2010 08:51

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