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OverviewThis book 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. Icing model of aircraft is represented by five parameters for iced wing airfoils. Icing is detected by a Kalman filtering innovation approach. A neural network structure is embodied such that its inputs are the aircraft estimated measurements, and its outputs are the icing parameters. The necessary training and validation set for the neural network model of the iced aircraft are obtained from the simulations, which are performed for various icing conditions. In order to decrease noise effects on the states and to increase training performance of the neural network, the estimated states by the Kalman filter are used. A suitable neural network model of the iced aircraft is obtained by using system identification methods and learning algorithms. This trained network model is used as an application for the control of the aircraft that has lost its controllability due to icing. The method is applied to F16 military and A340 commercial aircraft models. Full Product DetailsAuthor: Chingiz Hajiyev , Rahmi Aykan , Fikret CaliskanPublisher: LAP Lambert Academic Publishing Imprint: LAP Lambert Academic Publishing Dimensions: Width: 15.20cm , Height: 1.00cm , Length: 22.90cm Weight: 0.249kg ISBN: 9783844388749ISBN 10: 3844388745 Pages: 164 Publication Date: 15 June 2011 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Out of print, replaced by POD We will order this item for you from a manufatured on demand supplier. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |