The recent improvements and research on aviation have focused on the subject of aircraft safe flight even in the severe weather conditions. As one type of such weather conditions, aircraft icing considerably has negative effects on the aircraft flight performance. The risks of the iced aerodynamic surfaces of the flying aircraft have been known since the beginning of the first flights. Until recent years, as a solution for this event, the icing conditions ahead flight route are estimated from radars or other environmental sensors, hence flight paths are changed, or, if it exists, anti-icing/de-icing systems are used. This work aims at the detection and identification of airframe icing based on statistical properties of aircraft dynamics and reconfigurable control protecting aircraft from hazardous icing conditions. In this paper, aircraft icing identification based on neural networks is investigated. Following icing identification, reconfigurable control is applied for protecting the aircraft from hazardous icing conditions.
Skip Nav Destination
Article navigation
6 November 2012
9TH INTERNATIONAL CONFERENCE ON MATHEMATICAL PROBLEMS IN ENGINEERING, AEROSPACE AND SCIENCES: ICNPAA 2012
10–14 July 2012
Vienna, Austria
Research Article|
November 06 2012
In-flight detection and identification and accommodation of aircraft icing Available to Purchase
Fikret Caliskan;
Fikret Caliskan
Istanbul Technical University Control Engineering Department Ayazaga, 34469, Istanbul,
Turkey
Search for other works by this author on:
Chingiz Hajiyev
Chingiz Hajiyev
Istanbul Technical University Aeronautical Engineering Department Ayazaga 34469, Istanbul,
Turkey
Search for other works by this author on:
Fikret Caliskan
Istanbul Technical University Control Engineering Department Ayazaga, 34469, Istanbul,
Turkey
Chingiz Hajiyev
Istanbul Technical University Aeronautical Engineering Department Ayazaga 34469, Istanbul,
Turkey
AIP Conf. Proc. 1493, 200–206 (2012)
Citation
Fikret Caliskan, Chingiz Hajiyev; In-flight detection and identification and accommodation of aircraft icing. AIP Conf. Proc. 6 November 2012; 1493 (1): 200–206. https://doi.org/10.1063/1.4765490
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
The implementation of reflective assessment using Gibbs’ reflective cycle in assessing students’ writing skill
Lala Nurlatifah, Pupung Purnawarman, et al.
Effect of coupling agent type on the self-cleaning and anti-reflective behaviour of advance nanocoating for PV panels application
Taha Tareq Mohammed, Hadia Kadhim Judran, et al.
Design of a 100 MW solar power plant on wetland in Bangladesh
Apu Kowsar, Sumon Chandra Debnath, et al.
Related Content
Air craft aerodynamics and ice accretion effects
AIP Conf. Proc. (August 2024)
Comprehensive review of computational analysis of ice accretion on a wing
AIP Conf. Proc. (January 2024)
Numerical and statistical simulation technique for the aircraft wing thermal state in icing conditions
AIP Conf. Proc. (May 2021)
Deriving an acceptable level of reusable launch vehicle flightworthiness
AIP Conf. Proc. (January 2000)
Simulation of air-droplet mixed phase flow in icing wind-tunnel
AIP Conf. Proc. (July 2013)