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Spin flight mode identification with OEEMD algorithm

S. Abolfazl Mokhtari (Department of Aerospace Engineering, Amirkabir University of Technology, Tehran, Islamic Republic of Iran)
Mehdi Sabzehparvar (Department of Aerospace Engineering, Amirkabir University of Technology, Tehran, Islamic Republic of Iran)

Aircraft Engineering and Aerospace Technology

ISSN: 0002-2667

Article publication date: 12 February 2019

Issue publication date: 17 May 2019

89

Abstract

Purpose

The paper aims to present an innovative method for identification of flight modes in the spin maneuver, which is highly nonlinear and coupled dynamic.

Design/methodology/approach

To fix the mode mixing problem which is mostly happen in the EMD algorithm, the authors focused on the proposal of an optimized ensemble empirical mode decomposition (OEEMD) algorithm for processing of the flight complex signals that originate from FDR. There are two improvements with the OEEMD respect to the EEMD. First, this algorithm is able to make a precise reconstruction of the original signal. The second improvement is that the OEEMD performs the task of signal decomposition with fewer iterations and so with less complexity order rather than the competitor approaches.

Findings

By applying the OEEMD algorithm to the spin flight parameter signals, flight modes extracted, then with using systematic technique, flight modes characteristics are obtained. The results indicate that there are some non-standard modes in the nonlinear region due to couplings between the longitudinal and lateral motions.

Practical implications

Application of the proposed method to the spin flight test data may result accurate identification of nonlinear dynamics with high coupling in this regime.

Originality/value

First, to fix the mode mixing problem in EMD, an optimized ensemble empirical mode decomposition algorithm is introduced, which disturbed the original signal with a sort of white Gaussian noise, and by using white noise statistical characteristics the OEEMD fix the mode mixing problem with high precision and fewer calculations. Second, by applying the OEEMD to the flight output signals and with using the systematic method, flight mode characteristics which is very important in the simulation and controller designing are obtained.

Keywords

Citation

Mokhtari, S.A. and Sabzehparvar, M. (2019), "Spin flight mode identification with OEEMD algorithm", Aircraft Engineering and Aerospace Technology, Vol. 91 No. 4, pp. 582-600. https://doi.org/10.1108/AEAT-12-2017-0280

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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