Physics-Based Aircraft Dynamics Identification Using Genetic Algorithms

Peña-García, Raymundo; Velázquez-Sánchez, Rodolfo Daniel; Gómez-Daza-Argumedo, Cristian; Escobedo-Alva, Jonathan Omega; Tapia-Herrera, Ricardo; Meda-Campaña, Jesús Alberto

doi:10.3390/aerospace11020142

Open AccessArticle

Physics-Based Aircraft Dynamics Identification Using Genetic Algorithms

by

Raymundo Peña-García

^1,†

,

Rodolfo Daniel Velázquez-Sánchez

^1,†

,

Cristian Gómez-Daza-Argumedo

^2,†,

Jonathan Omega Escobedo-Alva

^2,†

,

Ricardo Tapia-Herrera

^3,†

and

Jesús Alberto Meda-Campaña

^1,*,†

¹

Instituto Politécnico Nacional SEPI ESIME Zacatenco, Ciudad de México 07738, Mexico

²

Instituto Politécnico Nacional SEPI ESIME Ticomán, Ciudad de México 07340, Mexico

³

CONAHCYT—Instituto Politécnico Nacional SEPI ESIME Zacatenco, Ciudad de México 07738, Mexico

^*

Author to whom correspondence should be addressed.

^†

These authors contributed equally to this work.

Aerospace 2024, 11(2), 142; https://doi.org/10.3390/aerospace11020142

Submission received: 14 December 2023 / Revised: 25 January 2024 / Accepted: 31 January 2024 / Published: 8 February 2024

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Abstract

This research introduces a physics-based identification technique utilizing genetic algorithms. The primary objective is to derive a parametric matrix, denoted as A, describing the time-invariant linear model governing the longitudinal dynamics of an aircraft. This is achieved by proposing a fitness function based on the properties of the transition matrix and taking advantage of some of the capabilities of the genetic algorithm, mainly those of restricting the search ranges of the unknowns. In this case, such unknowns are related to the type of aircraft and flight conditions that are considered during the identification process. The proposed identification method is validated with a reliable nonlinear model that can be found in the literature, as well as with the calculation of the trim condition and linearization generally used in aircraft dynamics. In summary, this study suggests that the genetic algorithm provided with the adequate fitness function could be an appealing alternative for aircraft model identification, even when limited data are available. Furthermore, in some cases, linearization using a genetic algorithm can be more efficient than classical methods.

Keywords: physical-based modeling; system identification; transition matrix; genetic algorithm

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MDPI and ACS Style

Peña-García, R.; Velázquez-Sánchez, R.D.; Gómez-Daza-Argumedo, C.; Escobedo-Alva, J.O.; Tapia-Herrera, R.; Meda-Campaña, J.A. Physics-Based Aircraft Dynamics Identification Using Genetic Algorithms. Aerospace 2024, 11, 142. https://doi.org/10.3390/aerospace11020142

AMA Style

Peña-García R, Velázquez-Sánchez RD, Gómez-Daza-Argumedo C, Escobedo-Alva JO, Tapia-Herrera R, Meda-Campaña JA. Physics-Based Aircraft Dynamics Identification Using Genetic Algorithms. Aerospace. 2024; 11(2):142. https://doi.org/10.3390/aerospace11020142

Chicago/Turabian Style

Peña-García, Raymundo, Rodolfo Daniel Velázquez-Sánchez, Cristian Gómez-Daza-Argumedo, Jonathan Omega Escobedo-Alva, Ricardo Tapia-Herrera, and Jesús Alberto Meda-Campaña. 2024. "Physics-Based Aircraft Dynamics Identification Using Genetic Algorithms" Aerospace 11, no. 2: 142. https://doi.org/10.3390/aerospace11020142

APA Style

Peña-García, R., Velázquez-Sánchez, R. D., Gómez-Daza-Argumedo, C., Escobedo-Alva, J. O., Tapia-Herrera, R., & Meda-Campaña, J. A. (2024). Physics-Based Aircraft Dynamics Identification Using Genetic Algorithms. Aerospace, 11(2), 142. https://doi.org/10.3390/aerospace11020142

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Physics-Based Aircraft Dynamics Identification Using Genetic Algorithms

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