Intelligent Attitude Control of Aircraft Based on LSTM

Conference paper

Li, B, Gao, P, Li, X and Chen, D (2019). Intelligent Attitude Control of Aircraft Based on LSTM. 3rd International Conference on Artificial Intelligence Applications and Technologies. Beijing, China 01 - 03 Aug 2019 IOP Publishing. https://doi.org/10.1088/1757-899X/646/1/012013
AuthorsLi, B, Gao, P, Li, X and Chen, D
TypeConference paper
Abstract

© 2019 IOP Publishing Ltd. All rights reserved. The flight attitude control is the core part of the maneuvering process in air combats. Traditional flight attitude control methods have high computational complexity, low flexibility and poor ability to learn sequential feature. This paper proposes a flight attitude control model based on long short term memory network, which utilizes its special gates structure to memorize historical information, and acquire the variation law of the attitude control variable from the time sequential data including the battlefield situation and flight parameters automatically. Moreover, the basic framework and training methods of the model are also introduced, and the influence caused by various LSTM network parameters is deeply discussed. The experiment results show that the proposed model has better prediction accuracy and convergence performance than the traditional recurrent neural network.

Year2019
JournalIOP Conference Series: Materials Science and Engineering
PublisherIOP Publishing
Journal citation646 (1), pp. 012013-012013
ISSN1757-8981
Digital Object Identifier (DOI)https://doi.org/10.1088/1757-899X/646/1/012013
Accepted author manuscript
License
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Open
Publication dates
Print17 Oct 2019
Online17 Oct 2019
Publication process dates
Accepted17 Sep 2019
Deposited10 Feb 2020
Web address (URL) of conference proceedingshttps://iopscience.iop.org/journal/1757-899X
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https://openresearch.lsbu.ac.uk/item/8903x

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