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 original | English |
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| Título de la publicación alojada | AIAA SciTech Forum and Exposition, 2024 |
| DOI | |
| Estado | Published - 2024 |
| Evento | AIAA SciTech Forum and Exposition, 2024 - Orlando, United States Duración: ene 8 2024 → ene 12 2024 |
Serie de la publicación
| Nombre | AIAA SciTech Forum and Exposition, 2024 |
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Conference
| Conference | AIAA SciTech Forum and Exposition, 2024 |
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| País/Territorio | United States |
| Ciudad | Orlando |
| Período | 1/8/24 → 1/12/24 |
Nota bibliográfica
Publisher Copyright:© 2024 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.
ASJC Scopus subject areas
- Aerospace Engineering