Inflight Parameter Identification and Icing Location Detection of the Aircraft: The Time-Varying Case

This paper considers inflight parameter identification and icing location detection of the aircraft in a more common time-varying nature. In particular, ice accumulation is modeled as a continuous process, and the effect of the ice upon aircraft dynamics is to be accreted with time. Time-varying cas...

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Main Authors: Yiqun Dong, Jianliang Ai
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Control Science and Engineering
Online Access:http://dx.doi.org/10.1155/2014/396532
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author Yiqun Dong
Jianliang Ai
author_facet Yiqun Dong
Jianliang Ai
author_sort Yiqun Dong
collection DOAJ
description This paper considers inflight parameter identification and icing location detection of the aircraft in a more common time-varying nature. In particular, ice accumulation is modeled as a continuous process, and the effect of the ice upon aircraft dynamics is to be accreted with time. Time-varying case of the Hinf algorithm is implemented to provide inflight estimate of aircraft dynamic parameters, and the estimated results are delivered to a probabilistic neural network to decide icing location of the aircraft; an excitation measure of the aircraft is also adopted in the network input layer. A database corresponding to different icing cases and severities was generated for the training and test of the detection network. Based on the test results, the icing detection framework presented in this paper is believed to be with promising applicableness for our further studies.
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institution OA Journals
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publishDate 2014-01-01
publisher Wiley
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series Journal of Control Science and Engineering
spelling doaj-art-a1895731d85b48e7a80c519056dff58d2025-08-20T02:20:41ZengWileyJournal of Control Science and Engineering1687-52491687-52572014-01-01201410.1155/2014/396532396532Inflight Parameter Identification and Icing Location Detection of the Aircraft: The Time-Varying CaseYiqun Dong0Jianliang Ai1Department of Mechanics and Engineering Science, Fudan University, Shanghai 200433, ChinaDepartment of Mechanics and Engineering Science, Institute of Aeronautics and Astronautics, Fudan University, Shanghai 200433, ChinaThis paper considers inflight parameter identification and icing location detection of the aircraft in a more common time-varying nature. In particular, ice accumulation is modeled as a continuous process, and the effect of the ice upon aircraft dynamics is to be accreted with time. Time-varying case of the Hinf algorithm is implemented to provide inflight estimate of aircraft dynamic parameters, and the estimated results are delivered to a probabilistic neural network to decide icing location of the aircraft; an excitation measure of the aircraft is also adopted in the network input layer. A database corresponding to different icing cases and severities was generated for the training and test of the detection network. Based on the test results, the icing detection framework presented in this paper is believed to be with promising applicableness for our further studies.http://dx.doi.org/10.1155/2014/396532
spellingShingle Yiqun Dong
Jianliang Ai
Inflight Parameter Identification and Icing Location Detection of the Aircraft: The Time-Varying Case
Journal of Control Science and Engineering
title Inflight Parameter Identification and Icing Location Detection of the Aircraft: The Time-Varying Case
title_full Inflight Parameter Identification and Icing Location Detection of the Aircraft: The Time-Varying Case
title_fullStr Inflight Parameter Identification and Icing Location Detection of the Aircraft: The Time-Varying Case
title_full_unstemmed Inflight Parameter Identification and Icing Location Detection of the Aircraft: The Time-Varying Case
title_short Inflight Parameter Identification and Icing Location Detection of the Aircraft: The Time-Varying Case
title_sort inflight parameter identification and icing location detection of the aircraft the time varying case
url http://dx.doi.org/10.1155/2014/396532
work_keys_str_mv AT yiqundong inflightparameteridentificationandicinglocationdetectionoftheaircraftthetimevaryingcase
AT jianliangai inflightparameteridentificationandicinglocationdetectionoftheaircraftthetimevaryingcase