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Neural Networks Based Identification of Helicopter Dynamics Using Flight Data

Suresh, S and Kumar, Vijaya M and Omkar, SN and Mani, V and Sampath, Prasad (2002) Neural Networks Based Identification of Helicopter Dynamics Using Flight Data. In: 9th International Conference on Neural Information Processing, 2002. ICONIP '02, 18-22 November, Singapore, Vol.1, 10 -14.

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Abstract

In this paper, identification of lateral and longitudinal dynamics of a helicopter using flight data is presented. Neural networks with linear filter also known as Narendra's model and recurrent neural networks with internal memory (memory neuron networks) are used for the purpose. These networks are used for identifying the rate and attitude response of the helicopter to a given longitudinal cyclic and lateral cyclic inputs. The relative effectiveness of these algorithms has been discussed.

Item Type: Conference Paper
Additional Information: Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering (Formerly, Aeronautical Engineering)
Date Deposited: 19 Jan 2006
Last Modified: 19 Sep 2010 04:22
URI: http://eprints.iisc.ernet.in/id/eprint/5153

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