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2021 | OriginalPaper | Chapter

3. Identification of Aircraft Longitudinal Derivatives

Authors : Majeed Mohamed, Vikalp Dongare

Published in: Aircraft Aerodynamic Parameter Estimation from Flight Data Using Neural Partial Differentiation

Publisher: Springer Singapore

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Abstract

This chapter focuses on the application of neural networks to the problem of aircraft aerodynamic modeling and parameter estimation. The neural modeling and neural partial differentiation (NPD) method, which are presented in Chap. 2, are directly applied here to estimate the longitudinal dynamics of an aircraft system. Since the model of an aircraft system is established through the neural network, extends the use of NPD to multi-input and multi-output (MIMO) system ensures online estimation of each aircraft aerodynamics derivatives.

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Literature
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Metadata
Title
Identification of Aircraft Longitudinal Derivatives
Authors
Majeed Mohamed
Vikalp Dongare
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-16-0104-0_3

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