Model-Based and Markov Data-Based Linearized Tensegrity Dynamics and Analysis of Morphing Airfoils

Muhao Chen, Yuling Shen, Robert E. Skelton

Producción científica: Conference contributionrevisión exhaustiva

7 Citas (Scopus)

Resumen

This paper introduces two methods for linearizing nonlinear tensegrity dynamics: a model based and a Markov data-based approach. We first give the tensegrity notations and their nonlinear dynamics, followed by the theoretical formulation of a model-based linearization using Taylor expansion. Subsequently, the paper presents an empirical method of Markov data-based approach to linearizing these dynamics. Finally, we implement a shape-controllable tensegrity airfoil as an example. An extensive study and analysis are provided to compare the efficacy of both linearization methods. The principles established in this research are applicable to a variety of structures beyond tensegrity.

Idioma originalEnglish
Título de la publicación alojadaAIAA SciTech Forum and Exposition, 2024
DOI
EstadoPublished - 2024
EventoAIAA SciTech Forum and Exposition, 2024 - Orlando, United States
Duración: ene 8 2024ene 12 2024

Serie de la publicación

NombreAIAA SciTech Forum and Exposition, 2024

Conference

ConferenceAIAA SciTech Forum and Exposition, 2024
País/TerritorioUnited States
CiudadOrlando
Período1/8/241/12/24

Nota bibliográfica

Publisher Copyright:
© 2024 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

ASJC Scopus subject areas

  • Aerospace Engineering

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