Abstract
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.
Original language | English |
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Title of host publication | AIAA SciTech Forum and Exposition, 2024 |
DOIs | |
State | Published - 2024 |
Event | AIAA SciTech Forum and Exposition, 2024 - Orlando, United States Duration: Jan 8 2024 → Jan 12 2024 |
Publication series
Name | AIAA SciTech Forum and Exposition, 2024 |
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Conference
Conference | AIAA SciTech Forum and Exposition, 2024 |
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Country/Territory | United States |
City | Orlando |
Period | 1/8/24 → 1/12/24 |
Bibliographical note
Publisher Copyright:© 2024 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.
ASJC Scopus subject areas
- Aerospace Engineering