FAULT DIAGNOSIS OF AN AIRCRAFT CONTROL SURFACES WITH AN AUTOMATED CONTROL SYSTEM
https://doi.org/10.26467/2079-0619-2017-20-4-41-51
Abstract
This article is devoted to studying of fault diagnosis of an aircraft control surfaces using fault models to identify specific causes. Such failures as jamming, vibration, extreme run out and performance decrease are covered.
It is proved that in case of an actuator failure or flight control structural damage, the aircraft performance decreases significantly. Commercial aircraft frequently appear in the areas of military conflicts and terrorist activity, where the risk of shooting attack is high, for example in Syria, Iraq, South Sudan etc. Accordingly, it is necessary to create and assess the fault model to identify the flight control failures.
The research results demonstrate that the adequate fault model is the first step towards the managing the challenges of loss of aircraft controllability. This model is also an element of adaptive failure-resistant management model.
The research considers the relationship between the parameters of an i th state of a control surface and its angular rate, also parameters classification associated with specific control surfaces in order to avoid conflict/inconsistency in the determination of a faulty control surface and its condition.
The results of the method obtained in this article can be used in the design of an aircraft automated control system for timely identification of fault/failure of a specific control surface, that would contribute to an effective role aimed at increasing the survivability of an aircraft and increasing the acceptable level of safety due to loss of control.
About the Authors
B. D. Ogunvoul
National Space Development and Research Agency
Nigeria
Nigeria
PhD student of Moscow State Technical University of Civil Aviation
Abuja, Nigeria
E. A. Balanchuk
Department of production planning, ZAO "UTG"
Russian Federation
Russian Federation
PhD student of Moscow State Technical University of Civil Aviation
Moscow
K. S. Kandyba
Sheremetyevo International Airport
Russian Federation
Russian Federation
PhD student of Moscow State Technical University of Civil Aviation
Khimki
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Review
For citations:
Ogunvoul B.D., Balanchuk E.A., Kandyba K.S. FAULT DIAGNOSIS OF AN AIRCRAFT CONTROL SURFACES WITH AN AUTOMATED CONTROL SYSTEM. Civil Aviation High Technologies. 2017;20(4):41-51. (In Russ.) https://doi.org/10.26467/2079-0619-2017-20-4-41-51
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